DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile. - Meng-Meng Yin; Zhen Cui; Jin-Xing Liu 001; Ying-Lian Gao; Xiang-Zhen Kong (IDMB, 2019)

MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations. - Tian-Ru Wu; Meng-Meng Yin; Cui-Na Jiao; Ying-Lian Gao; Xiang-Zhen Kong; Jin-Xing Liu 001 (BMC Bioinform., 2020)

MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation. - Ying-Lian Gao; Meng-Meng Yin; Jin-Xing Liu 001; Junliang Shang; Chun-Hou Zheng 001 (ISBRA, 2021)

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)

LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations. - Meng-Meng Yin; Zhen Cui; Ming-Ming Gao; Jin-Xing Liu 001; Ying-Lian Gao (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases. - Meng-Meng Yin; Ying-Lian Gao; Junliang Shang; Chun-Hou Zheng 001; Jin-Xing Liu 001 (Future Gener. Comput. Syst., 2022)

NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation. - Meng-Meng Yin; Jin-Xing Liu 001; Ying-Lian Gao; Xiang-Zhen Kong; Chun-Hou Zheng 001 (IEEE Trans. Cybern., 2022)

MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes. - Jin-Xing Liu 001; Meng-Meng Yin; Ying-Lian Gao; Junliang Shang; 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)

NTBiRW: A Novel Neighbor Model Based on Two-Tier Bi-Random Walk for Predicting Potential Disease-Related Microbes. - Meng-Meng Yin; Ying-Lian Gao; Chun-Hou Zheng 001; Jin-Xing Liu 001 (IEEE J. Biomed. Health Informatics, 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)