Meng-Meng Yin

According to our database, Meng-Meng Yin authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning.

Feng Zhou, Meng-Meng Yin, Cui-Na Jiao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu

IEEE Trans. Neural Networks Learn. Syst., September, 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, Jin-Xing Liu

IEEE J. Biomed. Health Informatics, March, 2023

A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations.

Feng Zhou, Meng-Meng Yin, Jing-Xiu Zhao, Junliang Shang, Jin-Xing Liu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes.

Jin-Xing Liu, Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation.

Meng-Meng Yin, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng

IEEE Trans. Cybern., 2022

Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases.

Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng, Jin-Xing Liu

Future Gener. Comput. Syst., 2022

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, Ying-Lian Gao

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations.

Feng Zhou, Meng-Meng Yin, Cui-Na Jiao, Zhen Cui, Jing-Xiu Zhao, Jin-Xing Liu

BMC Bioinform., 2021

MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation.

Ying-Lian Gao, Meng-Meng Yin, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng

Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

2020

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

BMC Bioinform., 2020

2019

DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile.

Meng-Meng Yin, Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong

Proceedings of the Recent Advances in Data Science, 2019