Yannan Bin

24 papers Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
AEPMA: peptide-microbe association prediction based on autoevolutionary heterogeneous graph learning.
Briefings Bioinform.
Zhiyang Hu, Linqiang Pan, Daijun Zhang, Yannan Bin, Yansen Su
2025 J jnl
Pepxml: ESM2-based extreme multilabel classification of pathogen-targeted antimicrobial peptides.
Briefings Bioinform.
Yannan Bin, Daijun Zhang, Zhiyang Hu, Chungui Xu, Yansen Su
2024 J jnl
AMGDTI: drug-target interaction prediction based on adaptive meta-graph learning in heterogeneous network.
Briefings Bioinform.
Yansen Su, Zhiyang Hu, Fei Wang, Yannan Bin, Chun-Hou Zheng, Haitao Li, Haowen Chen, Xiangxiang Zeng
2024 J jnl
UsIL-6: An unbalanced learning strategy for identifying IL-6 inducing peptides by undersampling technique.
Comput. Methods Programs Biomed.
Yanhong Liao, Shouzhi Chen, Yannan Bin, Jianping Zhao, Xinlong Feng, Chun-Hou Zheng
2023 J jnl
Deep learning-based multi-functional therapeutic peptides prediction with a multi-label focal dice loss function.
Bioinform.
Henghui Fan, Wenhui Yan, Lihua Wang, Jie Liu, Yannan Bin, Junfeng Xia
2023 J jnl
FFMAVP: a new classifier based on feature fusion and multitask learning for identifying antiviral peptides and their subclasses.
Briefings Bioinform.
Ruifen Cao, Weiling Hu, Pi-Jing Wei, Yun Ding, Yannan Bin, Chun-Hou Zheng
2023 — conf
Generative Adversarial Network-Based Data Augmentation Method for Anti-coronavirus Peptides Prediction.
ICIC (3)
Jiliang Xu, Chungui Xu, Ruifen Cao, Yonghui He, Yannan Bin, Chun-Hou Zheng
2023 J jnl
PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shouzhi Chen, Yanhong Liao, Jianping Zhao, Yannan Bin, Chun-Hou Zheng
2023 J jnl
PhaGAA: an integrated web server platform for phage genome annotation and analysis.
Bioinform.
Jiawei Wu, Qingrui Liu, Min Li, Jiliang Xu, Chen Wang, Junyin Zhang, Minfeng Xiao, Yannan Bin, Junfeng Xia
2022 — conf
An Ensemble Framework Integrating Whole Slide Pathological Images and miRNA Data to Predict Radiosensitivity of Breast Cancer Patients.
ICIC (2)
Chao Dong, Jie Liu, Wenhui Yan, Mengmeng Han, Lijun Wu, Junfeng Xia, Yannan Bin
2022 J jnl
DPProm: A Two-Layer Predictor for Identifying Promoters and Their Types on Phage Genome Using Deep Learning.
IEEE J. Biomed. Health Informatics
Chen Wang, Junyin Zhang, Li Cheng, Jiawei Wu, Minfeng Xiao, Junfeng Xia, Yannan Bin
2022 J jnl
Identifying multi-functional bioactive peptide functions using multi-label deep learning.
Briefings Bioinform.
Wending Tang, Ruyu Dai, Wenhui Yan, Wei Zhang, Yannan Bin, En-Hua Xia, Junfeng Xia
2022 J jnl
NeuroPred-CLQ: incorporating deep temporal convolutional networks and multi-head attention mechanism to predict neuropeptides.
Briefings Bioinform.
Shouzhi Chen, Qing Li, Jianping Zhao, Yannan Bin, Chunhou Zheng
2022 J jnl
PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimization.
PLoS Comput. Biol.
Wenhui Yan, Wending Tang, Lihua Wang, Yannan Bin, Junfeng Xia
2021 J jnl
A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Menglu Li, Yanan Wang, Fuyi Li, Yun Zhao, Mengya Liu, Sijia Zhang, Yannan Bin, Alexander Ian Smith, Geoffrey I. Webb, Jian Li, Jiangning Song, Junfeng Xia
2021 J jnl
An improved DNA-binding hot spot residues prediction method by exploring interfacial neighbor properties.
BMC Bioinform.
Sijia Zhang, Lihua Wang, Le Zhao, Menglu Li, Mengya Liu, Ke Li, Yannan Bin, Junfeng Xia
2021 J jnl
BBPpred: Sequence-Based Prediction of Blood-Brain Barrier Peptides with Feature Representation Learning and Logistic Regression.
J. Chem. Inf. Model.
Ruyu Dai, Wei Zhang, Wending Tang, Evelien Wynendaele, Qizhi Zhu, Yannan Bin, Bart De Spiegeleer, Junfeng Xia
2020 J jnl
Prediction of hot spots in protein-DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting.
BMC Bioinform.
Ke Li, Sijia Zhang, Di Yan, Yannan Bin, Junfeng Xia
2019 J jnl
Comprehensive Analysis of Alzheimer's Disease Biologically Candidate Causal Genes Revealed by Function Association Study With GWAS.
IEEE Access
Yannan Bin, Qizhi Zhu, Menglu Li, Junfeng Xia
2019 — conf
Distinguishing Driver Missense Mutations from Benign Polymorphisms in Breast Cancer.
ICIC (2)
Xiyu Zhang, Ruoqing Xu, Yannan Bin, Zhenyu Yue
2018 — conf
Computational Prediction of Driver Missense Mutations in Melanoma.
ICIC (2)
Haiyang Sun, Zhenyu Yue, Le Zhao, Junfeng Xia, Yannan Bin, Di Zhang
2018 — conf
Further Evidence for Role of Promoter Polymorphisms in TNF Gene in Alzheimer's Disease.
ICIC (2)
Yannan Bin, Ling Shu, Qizhi Zhu, Huanhuan Zhu, Junfeng Xia
2018 — conf
Nucleotide-Based Significance of Somatic Synonymous Mutations for Pan-Cancer.
ICIC (2)
Yannan Bin, Xiaojuan Wang, Qizhi Zhu, Pengbo Wen, Junfeng Xia
2017 — conf
Investigating Alzheimer's Disease Candidate Genes Based on Combined Network Using Subnetwork Extraction Algorithms.
ICIC (2)
Xiaojuan Wang, Hua Yan, Di Zhang, Le Zhao, Yannan Bin, Junfeng Xia