A machine learning approach to identify DNA replication proteins from sequence-derived features. - Runtao Yang; Chengjin Zhang; Rui Gao 006; Lina Zhang 001 (CCECE, 2015)

Incorporating g-gap dipeptide composition and position specific scoring matrix for identifying antioxidant proteins. - Lina Zhang 001; Chengjin Zhang; Rui Gao 006; Runtao Yang (CCECE, 2015)

Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes. - Lina Zhang 001; Chengjin Zhang; Rui Gao 006; Runtao Yang; Qing Song 002 (BMC Bioinform., 2016)

PSSM-PROREP: A Flexible Web Server for Generating Various Position Specific Score Matrix-derived Protein Representations. - Runtao Yang; Chengjin Zhang; Lina Zhang 001 (ICIA, 2018)

DeepGly: A Deep Learning Framework With Recurrent and Convolutional Neural Networks to Identify Protein Glycation Sites From Imbalanced Data. - Jingui Chen; Runtao Yang; Chengjin Zhang; Lina Zhang 001; Qian Zhang 001 (IEEE Access, 2019)

Predicting FAD Interacting Residues with Feature Selection and Comprehensive Sequence Descriptors. - Runtao Yang; Chengjin Zhang; Rui Gao 006; Lina Zhang 001; Qing Song 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

PCSPred_SC: Prediction of Protein Citrullination Sites Using an Effective Sequence-Based Combined Method. - Lina Zhang 001; Jingui Chen; Chengjin Zhang; Rui Gao 006; Runtao Yang (IEEE Access, 2020)

Association prediction of CircRNAs and diseases using multi-homogeneous graphs and variational graph auto-encoder. - Yao Fu; Runtao Yang; Lina Zhang 001 (Comput. Biol. Medicine, 2022)

ECAmyloid: An amyloid predictor based on ensemble learning and comprehensive sequence-derived features. - Runtao Yang; Jiaming Liu; Lina Zhang 001 (Comput. Biol. Chem., 2023)

HGECDA: A Heterogeneous Graph Embedding Model for CircRNA-Disease Association Prediction. - Yao Fu; Runtao Yang; Lina Zhang 001; Xu Fu (IEEE J. Biomed. Health Informatics, 2023)

GCNGAT: Drug-disease association prediction based on graph convolution neural network and graph attention network. - Runtao Yang; Yao Fu; Qian Zhang 001; Lina Zhang 001 (Artif. Intell. Medicine, 2024)

Multi-view feature fusion and density-based minority over-sampling technique for amyloid protein prediction under imbalanced data. - Runtao Yang; Jiaming Liu; Qian Zhang 001; Lina Zhang 001 (Appl. Soft Comput., 2024)

Prediction of plant LncRNA-protein interactions based on feature fusion and an improved residual network. - Lina Zhang 001; Runtao Yang; Defei Xia; Xiaorui Lin; Wanying Xiong (Expert Syst. Appl., 2024)

An ensemble learning method combined with multiple feature representation strategies to predict lncRNA subcellular localizations. - Lina Zhang 001; Sizan Gao; Qinghao Yuan; Yao Fu; Runtao Yang (Comput. Biol. Chem., 2025)