Liang Yu

42 papers Journal 36Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Computational approaches for predicting drug-disease associations: a comprehensive review.
Frontiers Comput. Sci.
Zhaoyang Huang, Zhichao Xiao, Chunyan Ao, Lixin Guan, Liang Yu
2025 J jnl
DeCoST: unveiling cell type heterogeneity in spatial transcriptomics based on inter-domain alignment and Gaussian kernel conditional autoregressive.
Briefings Bioinform.
Xinyang Guo, Zilin Li, Zhaoyang Huang, Juan Li, Chenguang Zhao, Liang Yu
2025 J jnl
EPIPDLF: a pretrained deep learning framework for predicting enhancer-promoter interactions.
Bioinform.
Zhichao Xiao, Yan Li, Yijie Ding, Liang Yu
2025 J jnl
FORAlign: accelerating gap-affine DNA pairwise sequence alignment using FOR-blocks based on Four Russians approach with linear space complexity.
Briefings Bioinform.
Yanming Wei, Tong Zhou, Yixiao Zhai, Liang Yu, Quan Zou
2025 J jnl
Identifying G-Protein Coupled Receptors Using Mixed-Feature Extraction Methods and Machine Learning Methods.
IEEE Access
Chunyan Ao, Lin Gao, Liang Yu
2025 — conf
MT-IDR: Disordered Flexible Linkers and Molecular Recognition Features Prediction Based on Multi-Task Learning.
BIBM
Liang Yu, Haozheng Li, Ziqi Liu, Jingtao Liu, Yuchuan Peng, Bin Liu
2025 J jnl
Multiple kernel-based fuzzy system for identifying enhancers.
Expert Syst. Appl.
Zhichao Xiao, Yijie Ding, Liang Yu
2024 — conf
MTTSCL: protein subcellular localization prediction using multi-task learning.
BIBM
Liang Yu, Xiang Wu, Yan Li, Zhaoyang Huang, Ziqi Liu
2024 — conf
MVLncStack: A novel method for lncRNA subcellular localization prediction based on multi-view features.
BIBM
Ziqi Liu, Tao Bai, Dongdong Jiang, Bin Liu, Liang Yu
2024 J jnl
MulStack: An ensemble learning prediction model of multilabel mRNA subcellular localization.
Comput. Biol. Medicine
Ziqi Liu, Tao Bai, Bin Liu, Liang Yu
2024 J jnl
Prediction of cancer drug combinations based on multidrug learning and cancer expression information injection.
Future Gener. Comput. Syst.
Shujie Ren, Lu Chen, Hongxia Hao, Liang Yu
2023 — conf
Application of Multi-Dimensional SNV Features in Supervised Learning.
BIBM
Liang Yu, Lin Gao, Bo Li, Hongxia Hao, Lu Chen
2023 J jnl
Computational Approaches for Predicting Drug-Disease Associations: A Comprehensive Review.
CoRR
Chunyan Ao, Zhichao Xiao, Lixin Guan, Liang Yu
2023 J jnl
GOLF-Net: Global and local association fusion network for COVID-19 lung infection segmentation.
Comput. Biol. Medicine
Xinyu Xu, Lin Gao, Liang Yu
2023 — conf
Gene Expression Profile Prediction under Drug Action Based on Generative Adversarial Networks.
BIBM
Liang Yu, Huan Zhu, Da Dong, Lin Gao
2023 J jnl
Identification of a novel gene signature for the prognosis of sepsis.
Comput. Biol. Medicine
Kai Yang, Lin Gao, Hongxia Hao, Liang Yu
2023 J jnl
Potent antibiotic design via guided search from antibacterial activity evaluations.
Bioinform.
Lu Chen, Liang Yu, Lin Gao
2023 J jnl
Predicting new drug indications based on double variational autoencoders.
Comput. Biol. Medicine
Zhaoyang Huang, Shengjian Chen, Liang Yu
2022 J jnl
A network embedding framework based on integrating multiplex network for drug combination prediction.
Briefings Bioinform.
Liang Yu, Mingfei Xia, Qi An
2022 J jnl
Cancer classification based on multiple dimensions: SNV patterns.
Comput. Biol. Medicine
Bo Li, Liang Yu, Lin Gao
2022 J jnl
MiRNA-disease association prediction based on meta-paths.
Briefings Bioinform.
Liang Yu, Yujia Zheng, Lin Gao
2022 J jnl
Multidrug representation learning based on pretraining model and molecular graph for drug interaction and combination prediction.
Bioinform.
Shujie Ren, Liang Yu, Lin Gao
2022 J jnl
Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving.
Briefings Bioinform.
Yifan Shang, Xiucai Ye, Yasunori Futamura, Liang Yu, Tetsuya Sakurai
2022 J jnl
NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequences.
Briefings Bioinform.
Chunyan Ao, Quan Zou, Liang Yu
2022 J jnl
Research progress of miRNA-disease association prediction and comparison of related algorithms.
Briefings Bioinform.
Liang Yu, Yujia Zheng, Bingyi Ju, Chunyan Ao, Lin Gao
2022 J jnl
WMSA: a novel method for multiple sequence alignment of DNA sequences.
Bioinform.
Yanming Wei, Quan Zou, Furong Tang, Liang Yu
2021 J jnl
A heterogeneous network embedding framework for predicting similarity-based drug-target interactions.
Briefings Bioinform.
Qi An, Liang Yu
2021 J jnl
EPSOL: sequence-based protein solubility prediction using multidimensional embedding.
Bioinform.
Xiang Wu, Liang Yu
2021 J jnl
Predicting therapeutic drugs for hepatocellular carcinoma based on tissue-specific pathways.
PLoS Comput. Biol.
Liang Yu, Meng Wang, Yang Yang, Fengdan Xu, Xu Zhang, Fei Xie, Lin Gao, Xiangzhi Li
2021 J jnl
Prediction of drug-target interactions based on multi-layer network representation learning.
Neurocomputing
Yifan Shang, Lin Gao, Quan Zou, Liang Yu
2020 J jnl
A Node Embedding Framework for Integration of Similarity-based Drug Combination Prediction.
CoRR
Liang Yu, Mingfei Xia, Lin Gao
2020 J jnl
C3: connect separate connected components to form a succinct disease module.
BMC Bioinform.
Bingbo Wang, Jie Hu, Yajun Wang, Chenxing Zhang, Yuanjun Zhou, Liang Yu, Xingli Guo, Lin Gao, Yunru Chen
2019 J jnl
Human Pathway-Based Disease Network.
IEEE ACM Trans. Comput. Biol. Bioinform.
Liang Yu, Lin Gao
2017 J jnl
Discovering DNA methylation patterns for long non-coding RNAs associated with cancer subtypes.
Comput. Biol. Chem.
Xiaoke Ma, Liang Yu, Peizhuo Wang, Xiaofei Yang
2017 J jnl
Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome.
Artif. Intell. Medicine
Liang Yu, Jin Zhao, Lin Gao
2017 J jnl
Predicting potential treatments for complex diseases based on miRNA and tissue specificity.
CoRR
Liang Yu, Jin Zhao, Lin Gao
2017 J jnl
Prediction of Novel Drugs for Hepatocellular Carcinoma Based on Multi-Source Random Walk.
IEEE ACM Trans. Comput. Biol. Bioinform.
Liang Yu, Ruidan Su, Bingbo Wang, Long Zhang, Yapeng Zou, Jing Zhang, Lin Gao
2016 J jnl
The extraction of drug-disease correlations based on module distance in incomplete human interactome.
BMC Syst. Biol.
Liang Yu, Bingbo Wang, Xiaoke Ma, Lin Gao
2011 J jnl
A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification.
Comput. Biol. Chem.
Liang Yu, Lin Gao, Kui Li, Yi Zhao, David K. Y. Chiu
2010 J jnl
A hybrid clustering algorithm for identifying modules in Protein - Protein Interaction networks.
Int. J. Data Min. Bioinform.
Liang Yu, Lin Gao, Peng-Gang Sun
2010 — conf
Identification of core-attachment complexes based on maximal frequent patterns in protein-protein interaction networks.
BIBM Workshops
Liang Yu, Lin Gao, Chuiliang Kong
2010 J jnl
Quantitative function for community structure detection.
Int. J. Data Min. Model. Manag.
Liang Yu, Lin Gao, Danyang Wang, Shaofeng Fu