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Meng-Meng Yin
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Journal Articles
- 2023
- [j9]Feng Zhou, Meng-Meng Yin, Jing-Xiu Zhao, Junliang Shang, Jin-Xing Liu:
A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 52-60 (2023) - [j8]Jin-Xing Liu, Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng:
MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 534-543 (2023) - [j7]Meng-Meng Yin, Ying-Lian Gao, Chun-Hou Zheng, Jin-Xing Liu:
NTBiRW: A Novel Neighbor Model Based on Two-Tier Bi-Random Walk for Predicting Potential Disease-Related Microbes. IEEE J. Biomed. Health Informatics 27(3): 1644-1653 (2023) - [j6]Feng Zhou, Meng-Meng Yin, Cui-Na Jiao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu:
Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5570-5579 (2023) - 2022
- [j5]Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng, Jin-Xing Liu:
Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases. Future Gener. Comput. Syst. 134: 247-255 (2022) - [j4]Meng-Meng Yin, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng:
NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation. IEEE Trans. Cybern. 52(6): 5079-5087 (2022) - 2021
- [j3]Feng Zhou, Meng-Meng Yin, Cui-Na Jiao, Zhen Cui, Jing-Xiu Zhao, Jin-Xing Liu:
Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations. BMC Bioinform. 22(1): 573 (2021) - [j2]Meng-Meng Yin, Zhen Cui, Ming-Ming Gao, Jin-Xing Liu, Ying-Lian Gao:
LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1122-1129 (2021) - 2020
- [j1]Tian-Ru Wu, Meng-Meng Yin, Cui-Na Jiao, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu:
MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations. BMC Bioinform. 21(1): 454 (2020)
Conference and Workshop Papers
- 2021
- [c2]Ying-Lian Gao, Meng-Meng Yin, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng:
MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation. ISBRA 2021: 3-10 - 2019
- [c1]Meng-Meng Yin, Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong:
DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile. IDMB 2019: 196-208
Coauthor Index
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