Investigating Alzheimer's Disease Candidate Genes Based on Combined Network Using Subnetwork Extraction Algorithms. - Xiaojuan Wang; Hua Yan; Di Zhang 006; Le Zhao; Yannan Bin; Junfeng Xia (ICIC (2), 2017)

Further Evidence for Role of Promoter Polymorphisms in TNF Gene in Alzheimer's Disease. - Yannan Bin; Ling Shu; Qizhi Zhu; Huanhuan Zhu; Junfeng Xia (ICIC (2), 2018)

Nucleotide-Based Significance of Somatic Synonymous Mutations for Pan-Cancer. - Yannan Bin; Xiaojuan Wang; Qizhi Zhu; Pengbo Wen; Junfeng Xia (ICIC (2), 2018)

Computational Prediction of Driver Missense Mutations in Melanoma. - Haiyang Sun; Zhenyu Yue; Le Zhao; Junfeng Xia; Yannan Bin; Di Zhang 006 (ICIC (2), 2018)

Distinguishing Driver Missense Mutations from Benign Polymorphisms in Breast Cancer. - Xiyu Zhang; Ruoqing Xu; Yannan Bin; Zhenyu Yue (ICIC (2), 2019)

Comprehensive Analysis of Alzheimer's Disease Biologically Candidate Causal Genes Revealed by Function Association Study With GWAS. - Yannan Bin; Qizhi Zhu; Menglu Li; Junfeng Xia (IEEE Access, 2019)

Prediction of hot spots in protein-DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting. - Ke Li; Sijia Zhang; Di Yan; Yannan Bin; Junfeng Xia (BMC Bioinform., 2020)

An improved DNA-binding hot spot residues prediction method by exploring interfacial neighbor properties. - Sijia Zhang; Lihua Wang; Le Zhao; Menglu Li; Mengya Liu; Ke Li; Yannan Bin; Junfeng Xia (BMC Bioinform., 2021)

BBPpred: Sequence-Based Prediction of Blood-Brain Barrier Peptides with Feature Representation Learning and Logistic Regression. - Ruyu Dai; Wei Zhang; Wending Tang; Evelien Wynendaele; Qizhi Zhu; Yannan Bin; Bart De Spiegeleer; Junfeng Xia (J. Chem. Inf. Model., 2021)

A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction. - Menglu Li; Yanan Wang 003; Fuyi Li; Yun Zhao; Mengya Liu; Sijia Zhang; Yannan Bin; Alexander Ian Smith; Geoffrey I. Webb; Jian Li 052; Jiangning Song; Junfeng Xia (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

An Ensemble Framework Integrating Whole Slide Pathological Images and miRNA Data to Predict Radiosensitivity of Breast Cancer Patients. - Chao Dong; Jie Liu; Wenhui Yan; Mengmeng Han; Lijun Wu; Junfeng Xia; Yannan Bin (ICIC (2), 2022)

NeuroPred-CLQ: incorporating deep temporal convolutional networks and multi-head attention mechanism to predict neuropeptides. - Shouzhi Chen; Qing Li; Jianping Zhao 001; Yannan Bin; Chunhou Zheng 001 (Briefings Bioinform., 2022)

Identifying multi-functional bioactive peptide functions using multi-label deep learning. - Wending Tang; Ruyu Dai; Wenhui Yan; Wei Zhang; Yannan Bin; En-Hua Xia; Junfeng Xia (Briefings Bioinform., 2022)

DPProm: A Two-Layer Predictor for Identifying Promoters and Their Types on Phage Genome Using Deep Learning. - Chen Wang; Junyin Zhang; Li Cheng; Jiawei Wu; Minfeng Xiao; Junfeng Xia; Yannan Bin (IEEE J. Biomed. Health Informatics, 2022)

PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimization. - Wenhui Yan; Wending Tang; Lihua Wang; Yannan Bin; Junfeng Xia (PLoS Comput. Biol., 2022)

Generative Adversarial Network-Based Data Augmentation Method for Anti-coronavirus Peptides Prediction. - Jiliang Xu; Chungui Xu; Ruifen Cao; Yonghui He; Yannan Bin; Chun-Hou Zheng 001 (ICIC (3), 2023)

PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation. - Shouzhi Chen; Yanhong Liao; Jianping Zhao 001; Yannan Bin; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

PhaGAA: an integrated web server platform for phage genome annotation and analysis. - Jiawei Wu; Qingrui Liu; Min Li; Jiliang Xu; Chen Wang; Junyin Zhang; Minfeng Xiao; Yannan Bin; Junfeng Xia (Bioinform., 2023)

FFMAVP: a new classifier based on feature fusion and multitask learning for identifying antiviral peptides and their subclasses. - Ruifen Cao; Weiling Hu; Pi-Jing Wei; Yun Ding; Yannan Bin; Chun-Hou Zheng 001 (Briefings Bioinform., 2023)

AMGDTI: drug-target interaction prediction based on adaptive meta-graph learning in heterogeneous network. - Yansen Su; Zhiyang Hu; Fei Wang 095; Yannan Bin; Chun-Hou Zheng 001; Haitao Li 004; Haowen Chen; Xiangxiang Zeng (Briefings Bioinform., 2024)

UsIL-6: An unbalanced learning strategy for identifying IL-6 inducing peptides by undersampling technique. - Yanhong Liao; Shouzhi Chen; Yannan Bin; Jianping Zhao 001; Xinlong Feng; Chun-Hou Zheng 001 (Comput. Methods Programs Biomed., 2024)

AEPMA: peptide-microbe association prediction based on autoevolutionary heterogeneous graph learning. - Zhiyang Hu; Linqiang Pan; Daijun Zhang; Yannan Bin; Yansen Su (Briefings Bioinform., 2025)