Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations. - Feng Zhou 021; Meng-Meng Yin; Cui-Na Jiao; Zhen Cui; Jing-Xiu Zhao; Jin-Xing Liu 001 (BMC Bioinform., 2021)

A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism. - Bao-Min Liu; Ying-Lian Gao; Dai-Jun Zhang; Feng Zhou 021; Juan Wang 003; Chun-Hou Zheng 001; Jin-Xing Liu 001 (Briefings Bioinform., 2022)

LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy. - Wen-Yu Xi; Feng Zhou 021; Ying-Lian Gao; Jin-Xing Liu 001; Chun-Hou Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations. - Feng Zhou 021; Meng-Meng Yin; Jing-Xiu Zhao; Junliang Shang; Jin-Xing Liu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning. - Feng Zhou 021; Meng-Meng Yin; Cui-Na Jiao; Jing-Xiu Zhao; Chun-Hou Zheng 001; Jin-Xing Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

ViTax: adaptive hierarchical viral taxonomy classification with a taxonomy belief tree on a foundation model. - Yushuang He; Feng Zhou 021; Jiaxing Bai; Yichun Gao; Xiaobing Huang; Ying Wang 005 (Briefings Bioinform., 2024)

Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction. - Cui-Na Jiao; Feng Zhou 021; Bao-Min Liu; Chun-Hou Zheng 001; Jin-Xing Liu 001; Ying-Lian Gao (IEEE J. Biomed. Health Informatics, 2024)