Fang-Xiang Wu - RankMe

332 papers A* 2C 6Misc 4Journal 219Unranked 100

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dual-Channel Learning Framework for miRNA-Drug Interaction Prediction Based on Structural Features and Signed Bipartite Graph Neural Network. IEEE Trans. Big Data Xiaoxuan Zhang, Xiujuan Lei, Ling Guo, Ming Chen, Fang-Xiang Wu, Yi Pan
2026	J	`jnl`	Low-Count PET Image Reconstruction With Generalized Sparsity Priors via Unrolled Deep Networks. IEEE J. Biomed. Health Informatics Minghan Fu, Ming Fang, Bo Liao, Dong Liang, Zhanli Hu, Fang-Xiang Wu
2026	J	`jnl`	Unseen TCR-epitope interaction prediction with self-supervised contrastive learning. Neurocomputing Rawshon Raha, Weilai Chi, Xiujuan Lei, Qiang Liu, Fang-Xiang Wu
2025	J	`jnl`	A Cervical Cell Classification Framework Based on Multiview Supervised Contrastive Learning. IEEE Trans. Artif. Intell. Ming Fang, Jin Liu, Francis Bui, Bo Liao, Xiujuan Lei, Fang-Xiang Wu
2025	—	`conf`	An Adaptive Multi-view Feature Fusion Framework Based on Multiple Graphs for Predicting Drug-Drug Interactions. ICIC (26) Fei Wang, Zefan Cheng, Xiujuan Lei, Fang-Xiang Wu, Chun-Hou Zheng, Yansen Su
2025	J	`jnl`	CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification. CoRR Ludi Li, Junbin Mao, Hanhe Lin, Xu Tian, Fang-Xiang Wu, Jin Liu
2025	J	`jnl`	DIC: Deep Imputing and Clustering Single Cell RNA Sequencing Data. IEEE Trans. Comput. Biol. Bioinform. Kang Jiang, Rwan Ahmed, Petros Papagerakis, Fang-Xiang Wu
2025	J	`jnl`	GIAE-DTI: Predicting Drug-Target Interactions Based on Heterogeneous Network and GIN-Based Graph Autoencoder. IEEE J. Biomed. Health Informatics Mengdi Wang, Xiujuan Lei, Lian Liu, Jianrui Chen, Fang-Xiang Wu
2025	J	`jnl`	Graph convolution network based on meta-paths and mutual information for drug-target interaction prediction. BMC Bioinform. Shujuan Cao, Binying Cai, Zhejian Qiu, Tiantian Chang, Qiqige Wuyun, Fang-Xiang Wu
2025	—	`conf`	Joint Sparse Precision Matrix Estimation for Cancer Diagnosis. ISBRA (2) Rwan Ahmed, Kang Jiang, Fang-Xiang Wu
2025	J	`jnl`	Molecular Structure-Driven Multi-Relation DGI Prediction With High-Low-Order Attention Denoise. IEEE J. Biomed. Health Informatics Yizhe Shang, Jianrui Chen, Xiujuan Lei, Fang-Xiang Wu
2025	J	`jnl`	Nucleotide-level circRNA-RBP binding sites prediction based on hybrid encoding scheme and enhanced feature extraction. Neural Networks Yajing Guo, Xiujuan Lei, Zhengfeng Wang, Ling Guo, Fang-Xiang Wu, Yi Pan
2025	J	`jnl`	Traditional Chinese medicine studies for AD based on Logistic Matrix Factorization and Similarity Network Fusion. Appl. Math. Comput. Rui Ding, Shujuan Cao, Binying Cai, Yongming Zou, Fang-Xiang Wu
2025	J	`jnl`	Unraveling bladder cancer-related circRNA biomarkers: a hybrid model combining deep learning and statistics. Health Inf. Sci. Syst. Yulian Ding, Yi Pan, Ronald C. Geyer, Franco J. Vizeacoumar, Frederick S. Vizeacoumar, Fang-Xiang Wu
2024	J	`jnl`	A systematic review on deep learning based methods for cervical cell image analysis. Neurocomputing Ming Fang, Bo Liao, Xiujuan Lei, Fang-Xiang Wu
2024	—	`conf`	An Ensemble Learning Model for Predicting Unseen TCR-Epitope Interactions. ISBRA (1) Rawshon Raha, Qiang Liu, Fang-Xiang Wu
2024	—	`conf`	Deciphering Bladder Cancer-Related circRNA Biomarkers: An Ensemble Model Integrating Deep Learning and Statistics for circRNA Analysis. BCB Yulian Ding, Yi Pan, Ronald C. Geyer, Franco J. Vizeacoumar, Frederick S. Vizeacoumar, Fang-Xiang Wu
2024	J	`jnl`	Deep integrated fusion of local and global features for cervical cell classification. Comput. Biol. Medicine Ming Fang, Minghan Fu, Bo Liao, Xiujuan Lei, Fang-Xiang Wu
2024	—	`conf`	Drug Combination Side Effect Prediction Based on Polypharmacy Network and GraphSAGE Algorithm. BIBM Haiqiang Xiao, Xiujuan Lei, Yuchen Zhang, Fang-Xiang Wu
2024	—	`conf`	DrugEL: Ensemble Learning Model for Identification of Druggable Proteins. BIBM Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, Fang-Xiang Wu
2024	—	`conf`	HCCL: Hierarchical Channels and Contrastive Learning for Drug-Gene Multi-Relation Prediction. BIBM Yizhe Shang, Jianrui Chen, Xiujuan Lei, Fang-Xiang Wu
2024	J	`jnl`	Identifying Associations Between Small Nucleolar RNAs and Diseases via Graph Convolutional Network and Attention Mechanism. IEEE J. Biomed. Health Informatics Shuchen Liu, Wen Zhu, Peng Wang, Shaoyou Yu, Fang-Xiang Wu
2024	J	`jnl`	OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising. IEEE Trans. Medical Imaging Minghan Fu, Na Zhang, Zhenxing Huang, Chao Zhou, Xu Zhang, Jianmin Yuan, Qiang He, Yongfeng Yang, Hairong Zheng, Dong Liang, Fang-Xiang Wu, Wei Fan, Zhanli Hu
2024	—	`conf`	Prediction of miRNA family based on class-incremental learning. BIBM Yajun Liu, Lulu Qiu, Aimin Li, Rong Fei, Junhuai Li, Fang-Xiang Wu
2024	A*	`conf`	QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning. AAAI Minghan Fu, Fang-Xiang Wu
2024	J	`jnl`	SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis. Artif. Intell. Medicine Minghan Fu, Ming Fang, Rayyan Azam Khan, Bo Liao, Zhanli Hu, Fang-Xiang Wu
2024	J	`jnl`	pathMap: a path-based mapping tool for long noisy reads with high sensitivity. Briefings Bioinform. Ze-Gang Wei, Xiao-dan Zhang, Xing-Guo Fan, Yu Qian, Fei Liu, Fang-Xiang Wu
2023	J	`jnl`	A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement. IEEE J. Biomed. Health Informatics Minghan Fu, Meiyun Wang, Yaping Wu, Na Zhang, Yongfeng Yang, Haining Wang, Yun Zhou, Yue Shang, Fang-Xiang Wu, Hairong Zheng, Dong Liang, Zhanli Hu
2023	J	`jnl`	A multi-modal deep neural network for multi-class liver cancer diagnosis. Neural Networks Rayyan Azam Khan, Minghan Fu, Brent Burbridge, Yigang Luo, Fang-Xiang Wu
2023	J	`jnl`	Biomarker Identification via a Factorization Machine-Based Neural Network With Binary Pairwise Encoding. IEEE ACM Trans. Comput. Biol. Bioinform. Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
2023	J	`jnl`	CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity. Bioinform. Xuhua Yan, Ruiqing Zheng, Fang-Xiang Wu, Min Li
2023	J	`jnl`	DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning. Bioinform. Yiming Li, Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Min Li
2023	J	`jnl`	Identify potential circRNA-disease associations through a multi-objective evolutionary algorithm. Inf. Sci. Yuchen Zhang, Xiujuan Lei, Cai Dai, Yi Pan, Fang-Xiang Wu
2023	—	`conf`	Imputing single-cell RNA-seq data by graph autoencoder with multi-kernel. BIBM Kang Jiang, Bo Liao, Petros Papagerakis, Fang-Xiang Wu
2023	—	`conf`	MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results. CVPR Workshops Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qingpeng Zhu, Qianhui Sun, Wenxiu Sun, Chen Change Loy, Jinwei Gu, Shuai Liu, Hao Wang, Chaoyu Feng, Luyang Wang, Guangqi Shao, Chenguang Zhang, Xiaotao Wang, Lei Lei, Dafeng Zhang, Xiangyu Kong, Guanqun Liu, Mengmeng Bai, Jia Ouyang, Xiaobing Wang, Jiahui Yuan, Xinpeng Li, Chengzhi Jiang, Ting Jiang, Wenjie Lin, Qi Wu, Mingyan Han, Jinting Luo, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Bo Yan, Zhuang Li, Yadong Li, Hongbin Wang, Soonyong Song, Minghan Fu, Rayyan Azam Khan, Fang-Xiang Wu, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Bo Wang, Yan Luo, Shuaibo Gao, Wenhui Wu, Sicong Kang, Nikhil Akalwadi, Ankit Raichur, Vinod Patil, Allabakash Ghodesawar, Swaroop Adrashyappanamath, Amogh Joshi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Sicheng Li, Ruoxi Zhu, Jiazheng Lian, Shusong Xu, Zihao Liu, Sabari Nathan, Priya Kansal
2023	J	`jnl`	Multi-level GAN based enhanced CT scans for liver cancer diagnosis. Biomed. Signal Process. Control. Rayyan Azam Khan, Yigang Luo, Fang-Xiang Wu
2023	J	`jnl`	NMTF-DTI: A Nonnegative Matrix Tri-factorization Approach With Multiple Kernel Fusion for Drug-Target Interaction Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Ali Akbar Jamali, Anthony J. Kusalik, Fang-Xiang Wu
2023	—	`conf`	Prediction of piRNA-mRNA interactions based on an interactive inference network. BIBM Yajun Liu, Ru Li, Aimin Li, Rong Fei, Guo Xie, Fang-Xiang Wu
2023	J	`jnl`	QLAB: Quadratic Loss Approximation-Based Optimal Learning Rate for Deep Learning. CoRR Minghan Fu, Fang-Xiang Wu
2023	J	`jnl`	Sparse2Noise: Low-dose synchrotron X-ray tomography without high-quality reference data. Comput. Biol. Medicine Xiaoman Duan, Xiao Fan Ding, Naitao Li, Fang-Xiang Wu, Xiongbiao Chen, Ning Zhu
2023	J	`jnl`	invMap: a sensitive mapping tool for long noisy reads with inversion structural variants. Bioinform. Ze-Gang Wei, Peng-Yu Bu, Xiao-Dan Zhang, Fei Liu, Yu Qian, Fang-Xiang Wu
2022	J	`jnl`	A Deep Neural Network for Cervical Cell Classification Based on Cytology Images. IEEE Access Ming Fang, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
2022	J	`jnl`	A Dual Ranking Algorithm Based on the Multiplex Network for Heterogeneous Complex Disease Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. Xingyi Li, Ju Xiang, Fang-Xiang Wu, Min Li
2022	J	`jnl`	A semi-supervised autoencoder for autism disease diagnosis. Neurocomputing Wutao Yin, Longhai Li, Fang-Xiang Wu
2022	J	`jnl`	ACP_MS: prediction of anticancer peptides based on feature extraction. Briefings Bioinform. Caimao Zhou, Dejun Peng, Bo Liao, Ranran Jia, Fang-Xiang Wu
2022	J	`jnl`	An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Liangliang Liu, Shaojie Tang, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
2022	J	`jnl`	An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease. Briefings Bioinform. Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Weisheng Liu, Shannon Erhardt, Fang-Xiang Wu, Xing-Ming Zhao, Yuanfang Guan, Jun Wang, Daifeng Wang, Bin Hu, Jianxin Wang
2022	—	`conf`	BayesImpute: a Bayesian imputation method for single-cell RNA-seq data. BIBM Siqi Chen, Ruiqing Zheng, Luyi Tian, Fang-Xiang Wu, Min Li
2022	J	`jnl`	Biomedical data, computational methods and tools for evaluating disease-disease associations. Briefings Bioinform. Ju Xiang, Jiashuai Zhang, Yichao Zhao, Fang-Xiang Wu, Min Li
2022	J	`jnl`	Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF. Artif. Intell. Medicine Ying An, Xianyun Xia, Xianlai Chen, Fang-Xiang Wu, Jianxin Wang
2022	J	`jnl`	CircR2Disease v2.0: An Updated Web Server for Experimentally Validated circRNA-disease Associations and Its Application. Genom. Proteom. Bioinform. Chunyan Fan, Xiujuan Lei, Jiaojiao Tie, Yuchen Zhang, Fang-Xiang Wu, Yi Pan
2022	J	`jnl`	Corrigendum to "Deep learning for brain disorder diagnosis based on fMRI images" [Neurocomputing 469 (2022) 332-345]. Neurocomputing Wutao Yin, Longhai Li, Fang-Xiang Wu
2022	J	`jnl`	DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. Xiangmao Meng, Ju Xiang, Ruiqing Zheng, Fang-Xiang Wu, Min Li
2022	J	`jnl`	Deep learning for brain disorder diagnosis based on fMRI images. Neurocomputing Wutao Yin, Longhai Li, Fang-Xiang Wu
2022	J	`jnl`	DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding. Briefings Bioinform. Min Zeng, Yifan Wu, Chengqian Lu, Fuhao Zhang, Fang-Xiang Wu, Min Li
2022	J	`jnl`	Drug-Target Interaction Prediction Using Multi-Head Self-Attention and Graph Attention Network. IEEE ACM Trans. Comput. Biol. Bioinform. Zhongjian Cheng, Cheng Yan, Fang-Xiang Wu, Jianxin Wang
2022	—	`conf`	EMDS: predicting essential miRNAs based on deep learning and sequences. BIBM Cheng Yan, Guihua Duan, Fang-Xiang Wu
2022	J	`jnl`	Guest editorial: Deep neural networks for precision medicine. Neurocomputing Fang-Xiang Wu, Min Li, Lukasz A. Kurgan, Luis Rueda
2022	J	`jnl`	HyMM: hybrid method for disease-gene prediction by integrating multiscale module structure. Briefings Bioinform. Ju Xiang, Xiangmao Meng, Yichao Zhao, Fang-Xiang Wu, Min Li
2022	J	`jnl`	Identifying Gene Signatures for Cancer Drug Repositioning Based on Sample Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. Fei Wang, Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
2022	J	`jnl`	KAICD: A knowledge attention-based deep learning framework for automatic ICD coding. Neurocomputing Yifan Wu, Min Zeng, Zhihui Fei, Ying Yu, Fang-Xiang Wu, Min Li
2022	J	`jnl`	MLRDFM: a multi-view Laplacian regularized DeepFM model for predicting miRNA-disease associations. Briefings Bioinform. Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
2022	J	`jnl`	Machine learning based liver disease diagnosis: A systematic review. Neurocomputing Rayyan Azam Khan, Yigang Luo, Fang-Xiang Wu
2022	J	`jnl`	Multi-scale GAN with residual image learning for removing heterogeneous blur. IET Image Process. Rayyan Azam Khan, Yigang Luo, Fang-Xiang Wu
2022	J	`jnl`	NIMCE: A Gene Regulatory Network Inference Approach Based on Multi Time Delays Causal Entropy. IEEE ACM Trans. Comput. Biol. Bioinform. Haonan Feng, Ruiqing Zheng, Jianxin Wang, Fang-Xiang Wu, Min Li
2022	J	`jnl`	PDMDA: predicting deep-level miRNA-disease associations with graph neural networks and sequence features. Bioinform. Cheng Yan, Guihua Duan, Na Li, Lishen Zhang, Fang-Xiang Wu, Jianxin Wang
2022	J	`jnl`	Predicting Drug-Drug Interactions Based on Integrated Similarity and Semi-Supervised Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Cheng Yan, Guihua Duan, Yayan Zhang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2022	J	`jnl`	Predicting drug-drug interactions by graph convolutional network with multi-kernel. Briefings Bioinform. Fei Wang, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
2022	J	`jnl`	Predicting miRNA-Disease Associations Based On Multi-View Variational Graph Auto-Encoder With Matrix Factorization. IEEE J. Biomed. Health Informatics Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
2022	—	`conf`	Prediction of exosomal piRNAs based on deep learning for sequence embedding with attention mechanism. BIBM Yajun Liu, Yulian Ding, Aimin Li, Rong Fei, Guo Xie, Fang-Xiang Wu
2022	J	`jnl`	RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation. Artif. Intell. Medicine Rayyan Azam Khan, Yigang Luo, Fang-Xiang Wu
2022	J	`jnl`	Temporal-Spatial Analysis of the Essentiality of Hub Proteins in Protein-Protein Interaction Networks. IEEE Trans. Netw. Sci. Eng. Xiangmao Meng, Wenkai Li, Ju Xiang, Hayat Dino Bedru, Wenkang Wang, Fang-Xiang Wu, Min Li
2022	—	`conf`	Unseen Epitope-TCR Interaction Prediction based on Amino Acid Physicochemical Properties. BIBM Rawshon Raha, Yulian Ding, Qiang Liu, Fang-Xiang Wu
2021	J	`jnl`	A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information. IEEE ACM Trans. Comput. Biol. Bioinform. Fuhao Zhang, Hong Song, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Min Li
2021	J	`jnl`	A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information. IEEE ACM Trans. Comput. Biol. Bioinform. Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
2021	J	`jnl`	A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. Yunpei Xu, Hong-Dong Li, Yi Pan, Feng Luo, Fang-Xiang Wu, Jianxin Wang
2021	—	`conf`	A Graph Attention Neural Network for Diagnosing ASD with fMRI Data. BIBM Wutao Yin, Longhai Li, Fang-Xiang Wu
2021	J	`jnl`	A Novel Drug Repositioning Approach Based on Collaborative Metric Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Huimin Luo, Jianxin Wang, Cheng Yan, Min Li, Fang-Xiang Wu, Yi Pan
2021	J	`jnl`	A dynamic predictor selection algorithm for predicting stock market movement. Expert Syst. Appl. Shuting Dong, Jianxin Wang, Hongze Luo, Haodong Wang, Fang-Xiang Wu
2021	J	`jnl`	A survey on predicting microbe-disease associations: biological data and computational methods. Briefings Bioinform. Zhongqi Wen, Cheng Yan, Guihua Duan, Suning Li, Fang-Xiang Wu, Jianxin Wang
2021	J	`jnl`	An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines. IEEE ACM Trans. Comput. Biol. Bioinform. Ruiqing Zheng, Min Li, Xiang Chen, Siyu Zhao, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2021	J	`jnl`	Biomedical data and computational models for drug repositioning: a comprehensive review. Briefings Bioinform. Huimin Luo, Min Li, Mengyun Yang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang
2021	J	`jnl`	DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. Min Zeng, Chengqian Lu, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li
2021	J	`jnl`	Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations. IEEE J. Biomed. Health Informatics Chengqian Lu, Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Min Li, Jianxin Wang
2021	J	`jnl`	DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Yake Wang, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2021	J	`jnl`	Deletion Detection Method Using the Distribution of Insert Size and a Precise Alignment Strategy. IEEE ACM Trans. Comput. Biol. Bioinform. Zhen Zhang, Junwei Luo, Juan Shang, Min Li, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2021	J	`jnl`	Diagnosis of Autism Spectrum Disorder Based on Functional Brain Networks with Deep Learning. J. Comput. Biol. Wutao Yin, Sakib Mostafa, Fang-Xiang Wu
2021	—	`conf`	EFCA: An Extended Formal Concept Analysis Method for Aspect Extraction in Healthcare Informatics. BIBM Zohair Ahmed, Junwen Duan, Fang-Xiang Wu, Jianxin Wang
2021	J	`jnl`	EPGA-SC : A Framework for de novo Assembly of Single-Cell Sequencing Reads. IEEE ACM Trans. Comput. Biol. Bioinform. Xingyu Liao, Min Li, Junwei Luo, You Zou, Fang-Xiang Wu, Yi Pan, Feng Luo, Jianxin Wang
2021	J	`jnl`	Essential Protein Prediction Based on node2vec and XGBoost. J. Comput. Biol. Nian Wang, Min Zeng, Yiming Li, Fang-Xiang Wu, Min Li
2021	J	`jnl`	FUNMarker: Fusion Network-Based Method to Identify Prognostic and Heterogeneous Breast Cancer Biomarkers. IEEE ACM Trans. Comput. Biol. Bioinform. Xingyi Li, Ju Xiang, Jianxin Wang, Jinyan Li, Fang-Xiang Wu, Min Li
2021	J	`jnl`	High-Risk Prediction of Cardiovascular Diseases via Attention-Based Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Ying An, Nengjun Huang, Xianlai Chen, Fang-Xiang Wu, Jianxin Wang
2021	J	`jnl`	Human Protein Complex-Based Drug Signatures for Personalized Cancer Medicine. IEEE J. Biomed. Health Informatics Fei Wang, Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
2021	J	`jnl`	Identifying cell types from single-cell data based on similarities and dissimilarities between cells. BMC Bioinform. YuanYuan Li, Ping Luo, Yi Lu, Fang-Xiang Wu
2021	J	`jnl`	Identifying the tissues-of-origin of circulating cell-free DNAs is a promising way in noninvasive diagnostics. Briefings Bioinform. Xiaoqing Peng, Hong-Dong Li, Fang-Xiang Wu, Jianxin Wang
2021	J	`jnl`	Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks. Bioinform. Chengqian Lu, Min Zeng, Fang-Xiang Wu, Min Li, Jianxin Wang
2021	—	`conf`	Improving human essential protein prediction using only protein sequences via ensemble learning. BIBM Min Zeng, Nian Wang, Yifan Wu, Yiming Li, Fang-Xiang Wu, Min Li
2021	J	`jnl`	IsoResolve: predicting splice isoform functions by integrating gene and isoform-level features with domain adaptation. Bioinform. Hong-Dong Li, Changhuo Yang, Zhimin Zhang, Mengyun Yang, Fang-Xiang Wu, Gilbert S. Omenn, Jianxin Wang
2021	J	`jnl`	MCHMDA: Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion. IEEE ACM Trans. Comput. Biol. Bioinform. Cheng Yan, Guihua Duan, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2021	J	`jnl`	MMHGE: detecting mild cognitive impairment based on multi-atlas multi-view hybrid graph convolutional networks and ensemble learning. Clust. Comput. Jin Liu, Dejiao Zeng, Rui Guo, Mingming Lu, Fang-Xiang Wu, Jianxin Wang
2021	J	`jnl`	Parallel computing for genome sequence processing. Briefings Bioinform. You Zou, Yuejie Zhu, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2021	J	`jnl`	Predicting disease-associated genes: Computational methods, databases, and evaluations. WIREs Data Mining Knowl. Discov. Ping Luo, Bolin Chen, Bo Liao, Fang-Xiang Wu
2021	J	`jnl`	Proteoform characterization based on top-down mass spectrometry. Briefings Bioinform. Jiancheng Zhong, Yusui Sun, Minzhu Xie, Wei Peng, Chushu Zhang, Fang-Xiang Wu, Jianxin Wang
2021	J	`jnl`	SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement. Genom. Proteom. Bioinform. Zhenlan Liang, Min Li, Ruiqing Zheng, Yu Tian, Xuhua Yan, Jin Chen, Fang-Xiang Wu, Jianxin Wang
2021	—	`conf`	Single Cell Clustering with Sparse Similarity Matrix Learning. BIBM Wenjing Zhang, Yuting Tan, Fang-Xiang Wu
2021	J	`jnl`	scASK: A Novel Ensemble Framework for Classifying Cell Types Based on Single-cell RNA-seq Data. IEEE J. Biomed. Health Informatics Bo Liu, Fang-Xiang Wu, Xiufen Zou
2020	J	`jnl`	A network enhancement-based method for clustering of single cell RNA-seq data. Int. J. Data Min. Bioinform. Xiaoshu Zhu, Lilu Guo, Rongyuan Li, Yunpei Xu, Fang-Xiang Wu, Xiaoqing Peng, Hong-Dong Li
2020	J	`jnl`	A survey on U-shaped networks in medical image segmentations. Neurocomputing Liangliang Liu, Jianhong Cheng, Quan Quan, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
2020	—	`conf`	A topological AUC-based biomarker ensemble method for the complex disease analysis. BIBM Xingyi Li, Ju Xiang, Fang-Xiang Wu, Min Li
2020	J	`jnl`	ALSBMF: Predicting lncRNA-Disease Associations by Alternating Least Squares Based on Matrix Factorization. IEEE Access Wen Zhu, Kaimei Huang, Xiaofang Xiao, Bo Liao, Yuhua Yao, Fang-Xiang Wu
2020	J	`jnl`	An Efficient Trimming Algorithm based on Multi-Feature Fusion Scoring Model for NGS Data. IEEE ACM Trans. Comput. Biol. Bioinform. Xingyu Liao, Min Li, You Zou, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2020	J	`jnl`	Artificial Fish Swarm Optimization Based Method to Identify Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. Xiujuan Lei, Xiaoqin Yang, Fang-Xiang Wu
2020	J	`jnl`	Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease. Medical Image Anal. Liangliang Liu, Lukasz A. Kurgan, Fang-Xiang Wu, Jianxin Wang
2020	J	`jnl`	BRWMDA: Predicting Microbe-Disease Associations Based on Similarities and Bi-Random Walk on Disease and Microbe Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Cheng Yan, Guihua Duan, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2020	J	`jnl`	Constructing Disease Similarity Networks Based on Disease Module Theory. IEEE ACM Trans. Comput. Biol. Bioinform. Peng Ni, Jianxin Wang, Ping Zhong, Yaohang Li, Fang-Xiang Wu, Yi Pan
2020	J	`jnl`	Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities. Neurocomputing Liangliang Liu, Shaowu Chen, Xiaofeng Zhu, Xing-Ming Zhao, Fang-Xiang Wu, Jianxin Wang
2020	J	`jnl`	Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI. Neural Comput. Appl. Liangliang Liu, Shaowu Chen, Fuhao Zhang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2020	—	`conf`	Diagnosis of ASD from rs-fMRI Images Based on Brain Dynamic Networks. ISBRA Hongyu Guo, Wutao Yin, Sakib Mostafa, Fang-Xiang Wu
2020	J	`jnl`	Enhancing the feature representation of multi-modal MRI data by combining multi-view information for MCI classification. Neurocomputing Jin Liu, Yi Pan, Fang-Xiang Wu, Jianxin Wang
2020	J	`jnl`	Ensemble disease gene prediction by clinical sample-based networks. BMC Bioinform. Ping Luo, Li-Ping Tian, Bolin Chen, Qianghua Xiao, Fang-Xiang Wu
2020	J	`jnl`	GapReduce: A Gap Filling Algorithm Based on Partitioned Read Sets. IEEE ACM Trans. Comput. Biol. Bioinform. Junwei Luo, Jianxin Wang, Juan Shang, Huimin Luo, Min Li, Fang-Xiang Wu, Yi Pan
2020	J	`jnl`	Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Xiangmao Meng, Ruiqing Zheng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
2020	J	`jnl`	Improving de novo Assembly Based on Read Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Xingyu Liao, Min Li, Junwei Luo, You Zou, Fang-Xiang Wu, Yi Pan, Feng Luo, Jianxin Wang
2020	J	`jnl`	MADA: a web service for analysing DNA methylation array data. BMC Bioinform. Xinyu Hu, Li Tang, Linconghua Wang, Fang-Xiang Wu, Min Li
2020	J	`jnl`	MDIPA: a microRNA-drug interaction prediction approach based on non-negative matrix factorization. Bioinform. Ali Akbar Jamali, Anthony J. Kusalik, Fang-Xiang Wu
2020	J	`jnl`	MEC: Misassembly Error Correction in Contigs based on Distribution of Paired-End Reads and Statistics of GC-contents. IEEE ACM Trans. Comput. Biol. Bioinform. Binbin Wu, Min Li, Xingyu Liao, Junwei Luo, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2020	—	`conf`	MiRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron. ISBRA Na Li, Guihua Duan, Cheng Yan, Fang-Xiang Wu, Jianxin Wang
2020	J	`jnl`	Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images. IEEE J. Biomed. Health Informatics Liangliang Liu, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
2020	J	`jnl`	MultiGuideScan: a multi-processing tool for designing CRISPR guide RNA libraries. Bioinform. Tao Li, Shaokai Wang, Feng Luo, Fang-Xiang Wu, Jianxin Wang
2020	J	`jnl`	MultiMotifMaker: A Multi-Thread Tool for Identifying DNA Methylation Motifs from Pacbio Reads. IEEE ACM Trans. Comput. Biol. Bioinform. Tao Li, Xiankai Zhang, Feng Luo, Fang-Xiang Wu, Jianxin Wang
2020	J	`jnl`	PESM: predicting the essentiality of miRNAs based on gradient boosting machines and sequences. BMC Bioinform. Cheng Yan, Fang-Xiang Wu, Jianxin Wang, Guihua Duan
2020	J	`jnl`	Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion. IEEE J. Biomed. Health Informatics Chengqian Lu, Mengyun Yang, Min Li, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2020	J	`jnl`	Predicting novel CircRNA-disease associations based on random walk and logistic regression model. Comput. Biol. Chem. Yulian Ding, Bolin Chen, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
2020	J	`jnl`	Protein-protein interaction site prediction through combining local and global features with deep neural networks. Bioinform. Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li
2020	J	`jnl`	RepAHR: an improved approach for de novo repeat identification by assembly of the high-frequency reads. BMC Bioinform. Xingyu Liao, Xin Gao, Xiankai Zhang, Fang-Xiang Wu, Jianxin Wang
2020	—	`conf`	SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control. ISBRA Hao Gao, Min Li, Fang-Xiang Wu
2020	J	`jnl`	miRTRS: A Recommendation Algorithm for Predicting miRNA Targets. IEEE ACM Trans. Comput. Biol. Bioinform. Hui Jiang, Jianxin Wang, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan
2019	—	`conf`	A Global Similarity Learning for Clustering of Single-Cell RNA-Seq Data. BIBM Xiaoshu Zhu, Lilu Guo, Yunpei Xu, Hong-Dong Li, Xingyu Liao, Fang-Xiang Wu, Xiaoqing Peng
2019	J	`jnl`	A Novel Scaffolding Algorithm Based on Contig Error Correction and Path Extension. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Li Tang, Zhongxiang Liao, Junwei Luo, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2019	—	`conf`	Autoencoder Based Methods for Diagnosis of Autism Spectrum Disorder. ICCABS Sakib Mostafa, Wutao Yin, Fang-Xiang Wu
2019	J	`jnl`	Automated ICD-9 Coding via A Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Zhihui Fei, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
2019	J	`jnl`	Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN. J. Biomed. Informatics Ying Yu, Min Li, Liangliang Liu, Zhihui Fei, Fang-Xiang Wu, Jianxin Wang
2019	J	`jnl`	BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks. Bioinform. Ruiqing Zheng, Min Li, Xiang Chen, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2019	J	`jnl`	CSA: a web service for the complete process of ChIP-Seq analysis. BMC Bioinform. Min Li, Li Tang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2019	—	`conf`	Classification of Schizophrenia by Iterative Random Forest Feature Selection Based on DNA Methylation Array Data. BIBM Xinyu Hu, Min Li, Linconghua Wang, Xingyi Li, Fang-Xiang Wu, Jianxin Wang
2019	J	`jnl`	Computational Drug Repositioning with Random Walk on a Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. Huimin Luo, Jianxin Wang, Min Li, Junwei Luo, Peng Ni, Kaijie Zhao, Fang-Xiang Wu, Yi Pan
2019	J	`jnl`	Construction of Refined Protein Interaction Network for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Peng Ni, Xiaopei Chen, Jianxin Wang, Fang-Xiang Wu, Yi Pan
2019	J	`jnl`	Control principles for complex biological networks. Briefings Bioinform. Min Li, Hao Gao, Jianxin Wang, Fang-Xiang Wu
2019	J	`jnl`	Controllability and Its Applications to Biological Networks. J. Comput. Sci. Technol. Lin Wu, Min Li, Jianxin Wang, Fang-Xiang Wu
2019	J	`jnl`	Current challenges and solutions of de novo assembly. Quant. Biol. Xingyu Liao, Min Li, You Zou, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2019	J	`jnl`	DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels. BMC Bioinform. Cheng Yan, Guihua Duan, Yi Pan, Fang-Xiang Wu, Jianxin Wang
2019	J	`jnl`	DNRLMF-MDA: Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases. IEEE ACM Trans. Comput. Biol. Bioinform. Cheng Yan, Jianxin Wang, Peng Ni, Wei Lan, Fang-Xiang Wu, Yi Pan
2019	J	`jnl`	Deep learning for biological/clinical data. Neurocomputing Fang-Xiang Wu, Min Li
2019	J	`jnl`	DeepEP: a deep learning framework for identifying essential proteins. BMC Bioinform. Min Zeng, Min Li, Fang-Xiang Wu, Yaohang Li, Yi Pan
2019	—	`conf`	Detecting protein complex based on hierarchical compressing network embedding. BIBM Xiangmao Meng, Xiaoqing Peng, Fang-Xiang Wu, Min Li
2019	J	`jnl`	Diagnosis of Autism Spectrum Disorder Based on Eigenvalues of Brain Networks. IEEE Access Sakib Mostafa, Lingkai Tang, Fang-Xiang Wu
2019	J	`jnl`	Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data. IEEE ACM Trans. Comput. Biol. Bioinform. Ping Luo, Li-Ping Tian, Jishou Ruan, Fang-Xiang Wu
2019	—	`conf`	DoRC: Discovery of rare cells from ultra-large scRNA-seq data. BIBM Xiang Chen, Fang-Xiang Wu, Jin Chen, Min Li
2019	—	`conf`	Drug and disease similarity calculation platform for drug repositioning. BIBM Lan Huang, Huimin Luo, Mengyun Yang, Fang-Xiang Wu, Jianxin Wang
2019	—	`conf`	DualRank: multiplex network-based dual ranking for heterogeneous complex disease analysis. BIBM Xingyi Li, Ju Xiang, Xinyu Hu, Fang-Xiang Wu, Min Li
2019	J	`jnl`	Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation. Neurocomputing Liangliang Liu, Fang-Xiang Wu, Jianxin Wang
2019	J	`jnl`	Enhancing the prediction of disease-gene associations with multimodal deep learning. Bioinform. Ping Luo, YuanYuan Li, Li-Ping Tian, Fang-Xiang Wu
2019	—	`conf`	Human Protein Complex Signatures for Drug Repositioning. BCB Fei Wang, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
2019	—	`conf`	IDNDDI: An Integrated Drug Similarity Network Method for Predicting Drug-Drug Interactions. ISBRA Cheng Yan, Guihua Duan, Yayan Zhang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2019	J	`jnl`	IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning. BMC Bioinform. Cheng Yan, Guihua Duan, Fang-Xiang Wu, Jianxin Wang
2019	—	`conf`	Identification of Prognostic and Heterogeneous Breast Cancer Biomarkers Based on Fusion Network and Multiple Scoring Strategies. ICIC (2) Xingyi Li, Ju Xiang, Jianxin Wang, Fang-Xiang Wu, Min Li
2019	—	`conf`	Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data. ICIC (2) YuanYuan Li, Ping Luo, Yi Lu, Fang-Xiang Wu
2019	—	`conf`	LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques. BIBM Min Zeng, Chengqian Lu, Fuhao Zhang, Zhangli Lu, Fang-Xiang Wu, Yaohang Li, Min Li
2019	J	`jnl`	MGT-SM: A Method for Constructing Cellular Signal Transduction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Ruiqing Zheng, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2019	J	`jnl`	Overlap matrix completion for predicting drug-associated indications. PLoS Comput. Biol. Mengyun Yang, Huimin Luo, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2019	J	`jnl`	Protein complex detection based on flower pollination mechanism in multi-relation reconstructed dynamic protein networks. BMC Bioinform. Xiujuan Lei, Ming Fang, Ling Guo, Fang-Xiang Wu
2019	J	`jnl`	SCOP: a novel scaffolding algorithm based on contig classification and optimization. Bioinform. Min Li, Li Tang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2019	J	`jnl`	SinNLRR: a robust subspace clustering method for cell type detection by non-negative and low-rank representation. Bioinform. Ruiqing Zheng, Min Li, Zhenlan Liang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2019	—	`conf`	Tentative diagnosis prediction via deep understanding of patient narratives. BIBM Ying Yu, Min Li, Liangliang Liu, Fang-Xiang Wu, Jianxin Wang
2019	—	`conf`	de novo repeat detection based on the third generation sequencing reads. BIBM Xingyu Liao, Xiankai Zhang, Fang-Xiang Wu, Jianxin Wang
2018	—	`conf`	A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data. BIBM Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan
2018	J	`jnl`	A review on machine learning principles for multi-view biological data integration. Briefings Bioinform. Yifeng Li, Fang-Xiang Wu, Alioune Ngom
2018	J	`jnl`	Biomolecular Networks for Complex Diseases. Complex. Fang-Xiang Wu, Jianxin Wang, Min Li, Haiying Wang
2018	J	`jnl`	CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization. Neurocomputing Li-Ping Tian, Ping Luo, Haiying Wang, Huiru Zheng, Fang-Xiang Wu
2018	J	`jnl`	CircR2Disease: a manually curated database for experimentally supported circular RNAs associated with various diseases. Database J. Biol. Databases Curation Chunyan Fan, Xiujuan Lei, Zengqiang Fang, Qinghua Jiang, Fang-Xiang Wu
2018	J	`jnl`	Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network. IEEE ACM Trans. Comput. Biol. Bioinform. Jin Liu, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2018	J	`jnl`	CytoCtrlAnalyser: a Cytoscape app for biomolecular network controllability analysis. Bioinform. Lin Wu, Min Li, Jianxin Wang, Fang-Xiang Wu
2018	J	`jnl`	DWNN-RLS: regularized least squares method for predicting circRNA-disease associations. BMC Bioinform. Cheng Yan, Jianxin Wang, Fang-Xiang Wu
2018	—	`conf`	Disease Inference with Symptom Extraction and Bidirectional Recurrent Neural Network. BIBM Donglin Guo, Min Li, Ying Yu, Yaohang Li, Guihua Duan, Fang-Xiang Wu, Jianxin Wang
2018	J	`jnl`	DyNetViewer: a Cytoscape app for dynamic network construction, analysis and visualization. Bioinform. Min Li, Jie Yang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2018	J	`jnl`	Improved flower pollination algorithm for identifying essential proteins. BMC Syst. Biol. Xiujuan Lei, Ming Fang, Fang-Xiang Wu, Luonan Chen
2018	J	`jnl`	Improving Alzheimer's Disease Classification by Combining Multiple Measures. IEEE ACM Trans. Comput. Biol. Bioinform. Jin Liu, Jianxin Wang, Zhenjun Tang, Bin Hu, Fang-Xiang Wu, Yi Pan
2018	J	`jnl`	M-Matrix-Based State Observer Design for Genetic Regulatory Networks With Mixed Delays. IEEE Trans. Circuits Syst. II Express Briefs Li-Ping Tian, Venkat Palgat, Fang-Xiang Wu
2018	—	`conf`	PBMarsNet: A Multivariate Adaptive Regression Splines Based Method to Reconstruct Gene Regulatory Networks. ISBRA Siyu Zhao, Ruiqing Zheng, Xiang Chen, Yaohang Li, Fang-Xiang Wu, Min Li
2018	—	`conf`	Predicting Disease Genes from Clinical Single Sample-Based PPI Networks. IWBBIO (1) Ping Luo, Li-Ping Tian, Bolin Chen, Qianghua Xiao, Fang-Xiang Wu
2018	—	`conf`	Predicting Gene-Disease Associations with Manifold Learning. ISBRA Ping Luo, Li-Ping Tian, Bolin Chen, Qianghua Xiao, Fang-Xiang Wu
2018	J	`jnl`	Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Lan, Jianxin Wang, Min Li, Jin Liu, Fang-Xiang Wu, Yi Pan
2018	J	`jnl`	Prediction of lncRNA-disease associations based on inductive matrix completion. Bioinform. Chengqian Lu, Mengyun Yang, Feng Luo, Fang-Xiang Wu, Min Li, Yi Pan, Yaohang Li, Jianxin Wang
2018	—	`conf`	Sprites2: Detection of Deletions Based on an Accurate Alignment Strategy. ISBRA Zhen Zhang, Jianxin Wang, Junwei Luo, Juan Shang, Min Li, Fang-Xiang Wu, Yi Pan
2018	J	`jnl`	Topology potential based seed-growth method to identify protein complexes on dynamic PPI data. Inf. Sci. Xiujuan Lei, Yuchen Zhang, Shi Cheng, Fang-Xiang Wu, Witold Pedrycz
2018	—	`conf`	Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines. ICIC (2) Yake Wang, Min Li, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2017	—	`conf`	An interpretable model for predicting side effects of analgesics for osteoarthritis. BIBM Liangliang Liu, Jianxin Wang, Min Li, Fang-Xiang Wu, Hong-Dong Li, Ying Yu, Zhihui Fei
2017	J	`jnl`	BOSS: a novel scaffolding algorithm based on an optimized scaffold graph. Bioinform. Junwei Luo, Jianxin Wang, Zhen Zhang, Min Li, Fang-Xiang Wu
2017	J	`jnl`	Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey. Complex. Jin Liu, Min Li, Yi Pan, Wei Lan, Ruiqing Zheng, Fang-Xiang Wu, Jianxin Wang
2017	J	`jnl`	LDAP: a web server for lncRNA-disease association prediction. Bioinform. Wei Lan, Min Li, Kaijie Zhao, Jin Liu, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2017	—	`conf`	LSLS: A Novel Scaffolding Method Based on Path Extension. ICIC (2) Min Li, Li Tang, Zhongxiang Liao, Junwei Luo, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2017	—	`conf`	MEC: Misassembly error correction in contigs using a combination of paired-end reads and GC-contents. BIBM Binbin Wu, Jianxin Wang, Junwei Luo, Min Li, Fang-Xiang Wu, Yi Pan
2017	J	`jnl`	NovoExD: De novo Peptide Sequencing for ETD/ECD Spectra. IEEE ACM Trans. Comput. Biol. Bioinform. Yan Yan, Anthony J. Kusalik, Fang-Xiang Wu
2017	J	`jnl`	PECC: Correcting contigs based on paired-end read distribution. Comput. Biol. Chem. Min Li, Binbin Wu, Xiaodong Yan, Junwei Luo, Yi Pan, Fang-Xiang Wu, Jianxin Wang
2017	J	`jnl`	Predicting Protein Complexes in Weighted Dynamic PPI Networks Based on ICSC. Complex. Jie Zhao, Xiujuan Lei, Fang-Xiang Wu
2017	J	`jnl`	Protein Inference from the Integration of Tandem MS Data and Interactome Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Jiancheng Zhong, Jianxin Wang, Xiaojun Ding, Zhen Zhang, Min Li, Fang-Xiang Wu, Yi Pan
2017	J	`jnl`	Protein-protein interactions: detection, reliability assessment and applications. Briefings Bioinform. Xiaoqing Peng, Jianxin Wang, Wei Peng, Fang-Xiang Wu, Yi Pan
2017	—	`conf`	Relating Diseases Based on Disease Module Theory. ISBRA Peng Ni, Min Li, Ping Zhong, Guihua Duan, Jianxin Wang, Yaohang Li, Fang-Xiang Wu
2017	J	`jnl`	SDTRLS: Predicting Drug-Target Interactions for Complex Diseases Based on Chemical Substructures. Complex. Cheng Yan, Jianxin Wang, Wei Lan, Fang-Xiang Wu, Yi Pan
2017	J	`jnl`	United Complex Centrality for Identification of Essential Proteins from PPI Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Yu Lu, Zhibei Niu, Fang-Xiang Wu
2017	J	`jnl`	VAliBS: a visual aligner for bisulfite sequences. BMC Bioinform. Min Li, Ping Huang, Xiaodong Yan, Jianxin Wang, Yi Pan, Fang-Xiang Wu
2016	J	`jnl`	C-DEVA: Detection, evaluation, visualization and annotation of clusters from biological networks. Biosyst. Min Li, Yu Tang, Xuehong Wu, Jianxin Wang, Fang-Xiang Wu, Yi Pan
2016	—	`conf`	Construction of the spatial and temporal active protein interaction network for identifying protein complexes. BIBM Xiangmao Meng, Min Li, Jianxin Wang, Fang-Xiang Wu, Yi Pan
2016	—	`conf`	Detecting protein complexes from DPINs by OPTICS based on particle swarm optimization. BIBM Xiujuan Lei, Huan Li, Fang-Xiang Wu
2016	J	`jnl`	Detecting protein complexes from DPINs by density based clustering with Pigeon-Inspired Optimization Algorithm. Sci. China Inf. Sci. Xiujuan Lei, Yulian Ding, Fang-Xiang Wu
2016	J	`jnl`	Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm. Bioinform. Huimin Luo, Jianxin Wang, Min Li, Junwei Luo, Xiaoqing Peng, Fang-Xiang Wu, Yi Pan
2016	—	`conf`	Identifying disease genes from PPI networks weighted by gene expression under different conditions. BIBM Ping Luo, Li-Ping Tian, Jishou Ruan, Fang-Xiang Wu
2016	—	`conf`	Identifying protein complexes in dynamic protein-protein interaction networks based on Cuckoo Search algorithm. BIBM Jie Zhao, Xiujuan Lei, Fang-Xiang Wu
2016	—	`conf`	Mining protein complexes based on topology potential from weighted dynamic PPI network. BIBM Xiujuan Lei, Yuchen Zhang, Fang-Xiang Wu, Aidong Zhang
2016	J	`jnl`	Predicting drug-target interaction using positive-unlabeled learning. Neurocomputing Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yaohang Li, Fang-Xiang Wu, Yi Pan
2016	J	`jnl`	Predicting essential proteins based on subcellular localization, orthology and PPI networks. BMC Bioinform. Gaoshi Li, Min Li, Jianxin Wang, Jingli Wu, Fang-Xiang Wu, Yi Pan
2016	—	`conf`	Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning. BIBM Wei Lan, Jianxin Wang, Min Li, Chengqian Lu, Fang-Xiang Wu, Yi Pan
2016	J	`jnl`	Protein complex identification through Markov clustering with firefly algorithm on dynamic protein-protein interaction networks. Inf. Sci. Xiujuan Lei, Fei Wang, Fang-Xiang Wu, Aidong Zhang, Witold Pedrycz
2016	J	`jnl`	Sprites: detection of deletions from sequencing data by re-aligning split reads. Bioinform. Zhen Zhang, Jianxin Wang, Junwei Luo, Xiaojun Ding, Jiancheng Zhong, Jun Wang, Fang-Xiang Wu, Yi Pan
2016	—	`conf`	The MSS of complex networks with centrality based preference and its application to biomolecular networks. BIBM Lin Wu, Lingkai Tang, Min Li, Jianxin Wang, Fang-Xiang Wu
2015	J	`jnl`	A Topology Potential-Based Method for Identifying Essential Proteins from PPI Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Yu Lu, Jianxin Wang, Fang-Xiang Wu, Yi Pan
2015	—	`conf`	A two-step logistic regression algorithm for identifying individual-cancer-related genes. BIBM Bolin Chen, Xuequn Shang, Min Li, Jianxin Wang, Fang-Xiang Wu
2015	J	`jnl`	ClusterViz: A Cytoscape APP for Cluster Analysis of Biological Network. IEEE ACM Trans. Comput. Biol. Bioinform. Jianxin Wang, Jiancheng Zhong, Gang Chen, Min Li, Fang-Xiang Wu, Yi Pan
2015	J	`jnl`	CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks. Biosyst. Yu Tang, Min Li, Jianxin Wang, Yi Pan, Fang-Xiang Wu
2015	J	`jnl`	Detecting conserved protein complexes using a dividing-and-matching algorithm and unequally lenient criteria for network comparison. Algorithms Mol. Biol. Wei Peng, Jianxin Wang, Fang-Xiang Wu, Yi Pan
2015	J	`jnl`	Discovering essential proteins based on PPI network and protein complex. Int. J. Data Min. Bioinform. Jun Ren, Jianxin Wang, Min Li, Fang-Xiang Wu
2015	J	`jnl`	EPGA2: memory-efficient Bioinform. Junwei Luo, Jianxin Wang, Weilong Li, Zhen Zhang, Fang-Xiang Wu, Min Li, Yi Pan
2015	J	`jnl`	EPGA: Bioinform. Junwei Luo, Jianxin Wang, Zhen Zhang, Fang-Xiang Wu, Min Li, Yi Pan
2015	J	`jnl`	Estimation of control Energy and control Strategies for Complex Networks. Adv. Complex Syst. Dingjie Wang, Suoqin Jin, Fang-Xiang Wu, Xiufen Zou
2015	—	`conf`	Predicting Protein Functions Based on Dynamic Protein Interaction Networks. ISBRA Bihai Zhao, Jianxin Wang, Fang-Xiang Wu, Yi Pan
2015	J	`jnl`	UDoNC: An Algorithm for Identifying Essential Proteins Based on Protein Domains and Protein-Protein Interaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Peng, Jianxin Wang, Yingjiao Cheng, Yu Lu, Fang-Xiang Wu, Yi Pan
2014	J	`jnl`	A Fast Algorithm for Nonnegative Matrix Factorization and Its Convergence. IEEE Trans. Neural Networks Learn. Syst. Li-Xin Li, Lin Wu, Hui-sheng Zhang, Fang-Xiang Wu
2014	J	`jnl`	A group LASSO-based method for robustly inferring gene regulatory networks from multiple time-course datasets. BMC Syst. Biol. Li-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang
2014	—	`conf`	A logistic regression based algorithm for identifying human disease genes. BIBM Bolin Chen, Min Li, Jianxin Wang, Fang-Xiang Wu
2014	J	`jnl`	Detecting Protein Complexes Basedon Uncertain Graph Model. IEEE ACM Trans. Comput. Biol. Bioinform. Bihai Zhao, Jianxin Wang, Min Li, Fang-Xiang Wu, Yi Pan
2014	—	`conf`	Detecting functional modules in dynamic protein-protein interaction networks using Markov Clustering and Firefly Algorithm. BIBM Xiujuan Lei, Fang-Xiang Wu, Fei Wang, Aidong Zhang
2014	J	`jnl`	Discovering biological patterns from short time-series gene expression profiles with integrating PPI data. Neurocomputing Weiwei Fan, Bolin Chen, Gopalan Selvaraj, Fang-Xiang Wu
2014	—	`conf`	Drug Target Identification Based on Structural Output Controllability of Complex Networks. ISBRA Lin Wu, Yichao Shen, Min Li, Fang-Xiang Wu
2014	—	`conf`	Identification of Essential Proteins by Using Complexes and Interaction Network. ISBRA Min Li, Yu Lu, Zhibei Niu, Fang-Xiang Wu, Yi Pan
2014	J	`jnl`	Identifying protein complexes and functional modules - from static PPI networks to dynamic PPI networks. Briefings Bioinform. Bolin Chen, Weiwei Fan, Juan Liu, Fang-Xiang Wu
2014	J	`jnl`	Improving protein function prediction using domain and protein complexes in PPI networks. BMC Syst. Biol. Wei Peng, Jianxin Wang, Juan Cai, Lu Chen, Min Li, Fang-Xiang Wu
2014	—	`conf`	NovoGMET: De Novo Peptide Sequencing Using Graphs with Multiple Edge Types (GMET) for ETD/ECD Spectra. ISBRA Yan Yan, Anthony J. Kusalik, Fang-Xiang Wu
2014	—	`conf`	NovoPair: De novo peptide sequencing for tandem mass spectra pair. BIBM Yan Yan, Anthony J. Kusalik, Fang-Xiang Wu
2014	J	`jnl`	Prediction of disease genes using tissue-specified gene-gene network. BMC Syst. Biol. Gamage Upeksha Ganegoda, Jianxin Wang, Fang-Xiang Wu, Min Li
2014	—	`conf`	Searching SNP Combinations Related to Evolutionary Information of Human Populations on HapMap Data. ISBRA Xiaojun Ding, Haihua Gu, Zhen Zhang, Min Li, Fang-Xiang Wu
2014	J	`jnl`	State Observer Design for Delayed Genetic Regulatory Networks. Comput. Math. Methods Medicine Li-Ping Tian, Zhi-Jun Wang, Amin Mohammadbagheri, Fang-Xiang Wu
2013	—	`conf`	A dividing-and-matching algorithm to detect conserved protein complexes via local network alignment. BIBM Wei Peng, Jianxin Wang, Fang-Xiang Wu
2013	—	`conf`	A multi-edge graph based de novo peptide sequencing method for HCD spectra. BIBM Yan Yan, Anthony J. Kusalik, Fang-Xiang Wu
2013	J	`jnl`	Characterizing dynamic regulatory programs in mouse lung development and their potential association with tumourigenesis via miRNA-TF-mRNA circuits. BMC Syst. Biol. Juan Liu, Xinghuo Ye, Fang-Xiang Wu
2013	J	`jnl`	Complexity Analysis and Parameter Estimation of Dynamic Metabolic Systems. Comput. Math. Methods Medicine Li-Ping Tian, Zhong-ke Shi, Fang-Xiang Wu
2013	—	`conf`	Construction of Uncertain Protein-Protein Interaction Networks and Its Applications. ISBRA Bihai Zhao, Jianxin Wang, Fang-Xiang Wu, Yi Pan
2013	—	`conf`	Identifying dynamic protein complexes based on gene expression profiles and PPI networks. BIBM Min Li, Weijie Chen, Jianxin Wang, Fang-Xiang Wu, Yi Pan
2013	—	`conf`	PPI modules detection method through ABC-IFC algorithm. BIBM Xiujuan Lei, Jianfang Tian, Fang-Xiang Wu
2013	—	`conf`	Prioritization of candidate genes based on disease similarity and protein's proximity in PPI networks. BIBM Gamage Upeksha Ganegoda, Jianxin Wang, Fang-Xiang Wu, Min Li
2013	—	`conf`	Prioritizing human disease genes by multiple data integration. BIBM Bolin Chen, Jianxin Wang, Fang-Xiang Wu
2013	J	`jnl`	Robust identification method for nonlinear model structures and its application to high-performance aircraft. Int. J. Syst. Sci. Zhong-ke Shi, Fang-Xiang Wu
2013	—	`conf`	Robust inference of gene regulatory networks from multiple microarray datasets. BIBM Li-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang
2012	—	`conf`	A fuzzy cluster-based algorithm for peptide identification. BIBM Workshops Xijun Liang, Zhonghang Xia, Xinnan Niu, Andrew J. Link, Liping Pang, Fang-Xiang Wu, Hongwei Zhang
2012	—	`conf`	A hybrid approach of support vector machines with logistic regression for β-turn prediction. BIBM Workshops Murtada Khalafallah Elbashir, Jianxin Wang, Fang-Xiang Wu
2012	—	`conf`	Alternating weighted least squares parameter estimation for biological S-systems. ISB Li-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang
2012	—	`conf`	Dynamic miRNA-TF-mRNA circuits in mouse lung development. ISB Xinghuo Ye, Juan Liu, Fang-Xiang Wu
2012	J	`jnl`	Inference of Biological S-System Using the Separable Estimation Method and the Genetic Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. Li-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang
2012	J	`jnl`	Inference of gene regulatory subnetworks from time course gene expression data. BMC Bioinform. Xijun Liang, Zhonghang Xia, Li-Wei Zhang, Fang-Xiang Wu
2012	J	`jnl`	Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks. BMC Syst. Biol. Wei Peng, Jianxin Wang, Weiping Wang, Qing Liu, Fang-Xiang Wu, Yi Pan
2012	—	`conf`	New global stability conditions for genetic regulatory networks with time-varying delays. ISB Li-Ping Tian, Zhong-ke Shi, Fang-Xiang Wu
2012	—	`conf`	Not AU protein complexes exhibit dense structures in S. cerevisiae PPI network. BIBM Bolin Chen, Jin-Hong Shi, Fang-Xiang Wu
2012	J	`jnl`	Reverse engineering of gene regulatory networks from biological data. WIREs Data Mining Knowl. Discov. Li-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang
2012	—	`conf`	Sparse kernel logistic regression for β-turns prediction. ISB Murtada Khalafallah Elbashir, Jianxin Wang, Fang-Xiang Wu, Min Li
2012	J	`jnl`	Stability and Bifurcation of Ring-Structured Genetic Regulatory Networks With Time Delays. IEEE Trans. Circuits Syst. I Regul. Pap. Fang-Xiang Wu
2012	J	`jnl`	Symmetry Compression Method for Discovering Network Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. Jianxin Wang, Yuannan Huang, Fang-Xiang Wu, Yi Pan
2012	J	`jnl`	Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model. Math. Comput. Simul. Lili Han, Fang-Xiang Wu, Jie Sheng, Feng Ding
2011	—	`conf`	An Improved Graph Entropy-based Method for Identifying Protein Complexes. BIBM Bolin Chen, Yan Yan, Jin-Hong Shi, Shenggui Zhang, Fang-Xiang Wu
2011	—	`conf`	Delay-Dependent Stability for Genetic Regulatory Networks. BIBM Li-Ping Tian, Fang-Xiang Wu
2011	J	`jnl`	Delay-Independent Stability of Genetic Regulatory Networks. IEEE Trans. Neural Networks Fang-Xiang Wu
2011	—	`conf`	Estimating parameters in genetic regulatory networks with SUM logic. EMBC Li-Ping Tian, Li-Zhi Liu, Fang-Xiang Wu
2011	J	`jnl`	Features-Based Deisotoping Method for Tandem Mass Spectra. Adv. Bioinformatics Zheng Yuan, Jin-Hong Shi, Wenjun Lin, Bolin Chen, Fang-Xiang Wu
2011	J	`jnl`	Global and Robust Stability Analysis of Genetic Regulatory Networks With Time-Varying Delays and Parameter Uncertainties. IEEE Trans. Biomed. Circuits Syst. Fang-Xiang Wu
2011	—	`conf`	Globally delay-independent stability of ring-structured genetic regulatory networks. CCECE Li-Ping Tian, Fang-Xiang Wu
2011	J	`jnl`	Guest Editorial: Special Focus on Bioinformatics and Systems Biology. IEEE ACM Trans. Comput. Biol. Bioinform. Fang-Xiang Wu, Jun Huan
2011	—	`ed.`	IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011, Atlanta, GA, USA, November 12-15, , 2011 BIBM Fang-Xiang Wu, Mohammed Javeed Zaki, Shinichi Morishita, Yi Pan, Stephen Wong, Anastasia Christianson, Xiaohua Hu
2011	—	`conf`	Improve Accuracy of Peptide Identification with Consistency between Peptides. BIBM Jin-Hong Shi, Bolin Chen, Fang-Xiang Wu
2011	—	`conf`	Modeling Gene Regulatory Subnetworks from Time Course Gene Expression Data. BIBM Xijun Liang, Zhonghang Xia, Li-Wei Zhang, Fang-Xiang Wu
2011	—	`conf`	Parallelizing Peptide-Spectrum scoring using modern graphics processing units. ICCABS Jian Zhang, Ian McQuillan, Fang-Xiang Wu
2011	J	`jnl`	Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks. IEEE Trans. Neural Networks Long Cheng, Zeng-Guang Hou, Yingzi Lin, Min Tan, Wenjun Chris Zhang, Fang-Xiang Wu
2011	J	`jnl`	SVM-RFE based feature selection for tandem mass spectrum quality assessment. Int. J. Data Min. Bioinform. Jiarui Ding, Jin-Hong Shi, Fang-Xiang Wu
2010	—	`conf`	An adaptive approach to denoising tandem mass spectra. BIBM Workshops Wenjun Chris Lin, Fang-Xiang Wu, Jinhon Shi, Jiarui Ding, Wenjun Zhang
2010	J	`jnl`	Charge state determination of peptide tandem mass spectra using support vector machine (SVM). IEEE Trans. Inf. Technol. Biomed. An-Min Zou, Jin-Hong Shi, Jiarui Ding, Fang-Xiang Wu
2010	J	`jnl`	Dynamic-model-based method for selecting significantly expressed genes from time-course expression profiles. IEEE Trans. Inf. Technol. Biomed. Fang-Xiang Wu, Wen-Jun Zhang
2010	J	`jnl`	Estimation of parameters in rational reaction rates of molecular biological systems via weighted least squares. Int. J. Syst. Sci. Fang-Xiang Wu, Lei Mu, Zhong-ke Shi
2010	—	`conf`	Peptide charge state determination of tandem mass spectra from low-resolution collision induced dissociation. BIBM Jin-Hong Shi, Fang-Xiang Wu
2010	—	`conf`	Speed improvements of peptide-spectrum matching using SIMD instructions. BIBM Workshops Jian Zhang, Ian McQuillan, Fang-Xiang Wu
2010	—	`conf`	Structure identification and parameter estimation of biological s-systems. BIBM Li-Zhi Liu, Fang-Xiang Wu, Li-Li Han, Wen-Jun Zhang
2009	J	`jnl`	Delay-Independent Stability of Genetic Regulatory Networks with Time Delays. Adv. Complex Syst. Fang-Xiang Wu
2009	J	`jnl`	Finding Significantly Expressed genes from time-course expression profiles. Int. J. Bioinform. Res. Appl. Fang-Xiang Wu, Zhonghang Xia, Lei Mu
2009	J	`jnl`	Mining, Modeling, and Evaluation of Subnetworks From Large Biomolecular Networks and Its Comparison Study. IEEE Trans. Inf. Technol. Biomed. Xiaohua Hu, Michael K. Ng, Fang-Xiang Wu, Bahrad A. Sokhansanj
2009	J	`jnl`	Quality assessment of tandem mass spectra using support vector machine (SVM). BMC Bioinform. An-Min Zou, Fang-Xiang Wu, Jiarui Ding, Guy G. Poirier
2009	—	`conf`	Subspace pursuit for gene profile classificaiton. GENSiPS Xiyi Hang, Wei Dai, Fang-Xiang Wu
2009	J	`jnl`	Using a State-Space Model and Location Analysis to Infer Time-Delayed Regulatory Networks. EURASIP J. Bioinform. Syst. Biol. Chushin Koh, Fang-Xiang Wu, Gopalan Selvaraj, Anthony J. Kusalik
2008	—	`conf`	Adaptive dynamic surface control of a class of uncertain nonlinear systems in pure-feedback form using fuzzy backstepping approach. CASE Zeng-Guang Hou, An-Min Zou, Fang-Xiang Wu, Long Cheng, Min Tan
2008	J	`jnl`	An approach to assessing peptide mass spectral quality without prior information. Int. J. Funct. Informatics Pers. Medicine Fang-Xiang Wu, Jiarui Ding, Guy G. Poirier
2008	C	`conf`	Charge state determination of peptide tandem mass spectra using support vector machine (SVM). BIBE An-Min Zou, Jiarui Ding, Jin-Hong Shi, Fang-Xiang Wu
2008	—	`conf`	Detecting Significantly Expressed Genes from Their Time-Course Expression Profiles and Its Validation. BIBM Fang-Xiang Wu
2008	—	`conf`	Feature Selection for Tandem Mass Spectrum Quality Assessment. BIBM Jiarui Ding, Jin-Hong Shi, An-Min Zou, Fang-Xiang Wu
2008	J	`jnl`	Gene Regulatory Network modelling: a state-space approach. Int. J. Data Min. Bioinform. Fang-Xiang Wu
2008	J	`jnl`	Genetic weighted k-means algorithm for clustering large-scale gene expression data. BMC Bioinform. Fang-Xiang Wu
2008	J	`jnl`	Quality assessment of peptide tandem mass spectra. BMC Bioinform. Fang-Xiang Wu, Pierre Gagné, Arnaud Droit, Guy G. Poirier
2008	C	`conf`	Stability and oscillation of genetic regulatory networks with time delays. BIBE Fang-Xiang Wu
2007	C	`conf`	A Framework for Mass Spectral Quality Assessment without Prior Information. BIBE Fang-Xiang Wu, Jiarui Ding, Guy G. Poirier
2007	—	`conf`	A Genetic Weighted K-means Algorithm for Clustering Gene Expression Data. IMSCCS Fang-Xiang Wu
2007	Misc	`conf`	Mining and Dynamic Simulation of Sub-Networks from Large Biomolecular Networks. IC-AI Xiaohua Hu, Fang-Xiang Wu, Michael K. Ng, Bahrad A. Sokhansanj
2007	J	`jnl`	Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks. BMC Bioinform. Xiaohua Hu, Fang-Xiang Wu
2007	—	`conf`	Significance Analysis of Time-Course Gene Expression Profiles. ISBRA Fang-Xiang Wu
2006	J	`jnl`	Determination of the minimum number of microarray experiments for discovery of gene expression patterns. BMC Bioinform. Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik
2006	—	`conf`	On Determination of Minimum Sample Size for Discovery of Temporal Gene Expression Patterns. IMSCCS (1) Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik
2006	J	`jnl`	Optimally-connected Hidden Markov Models for Predicting Mhc-binding Peptides. J. Bioinform. Comput. Biol. Chenhong Zhang, Mikelis G. Bickis, Fang-Xiang Wu, Anthony J. Kusalik
2006	—	`conf`	Quality Assessment of Peptide Tandem Mass Spectra. IMSCCS (1) Fang-Xiang Wu, Pierre Gagné, Arnaud Droit, Guy G. Poirier
2005	J	`jnl`	Control of hybrid Machines with 2-DOF for trajectory tracking problems. IEEE Trans. Control. Syst. Technol. Fang-Xiang Wu, Wen-Jun Zhang, Q. Li, Puren R. Ouyang, Z. X. Zhou
2005	J	`jnl`	Dynamic Model-based Clustering for Time-course Gene Expression Data. J. Bioinform. Comput. Biol. Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik
2005	Misc	`conf`	Genetic Weighted K-means for Large-Scale Clustering Problems. FLAIRS Fang-Xiang Wu, Anthony J. Kusalik, Wen-Jun Zhang
2004	—	`conf`	A. Genetic Algorithm for Inferring Time Delays in Gene Regulatory Networks. CSB Fang-Xiang Wu, Anthony J. Kusalik, Wen-Jun Zhang
2004	C	`conf`	Model-Based Clustering with Genes Expression Dynamics for Time-Course Gene Expression Data. BIBE Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik
2004	Misc	`conf`	Modeling Gene Expression from Microarray Expression Data with State-Space Equations. Pacific Symposium on Biocomputing Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik
2004	—	`conf`	State-Space Model for Gene Regulatory Networks with Time Delays. CSB Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik
2003	Misc	`conf`	A Genetic K-means Clustering Algorithm Applied to Gene Expression Data. AI Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik
2003	C	`conf`	An Algorithm to Reconstruct a Target DNA Sequence from Its Spectrum Connected at a Given Level. BIBE Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik
2003	C	`conf`	Determination of the Minimum Sample Size in Microarray Experiments to Cluster Genes Using K-means Clustering. BIBE Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik
2002	A*	`conf`	Nonlinear PD Control for Trajectory Tracking with Consideration of the Design for Control Methodology. ICRA Puren R. Ouyang, Wen-Jun Zhang, Fang-Xiang Wu