Publications by authors named "Meineng Wang"

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Active Protein Network Analysis Reveals Coordinated Modules and Critical Proteins Involving Extracellular Electron Transfer Process.
Dewu Ding, Wei Wang, Meineng Wang, Jianming Xie

Genes (Basel)· May 2025

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Graph-Regularized Non-Negative Matrix Factorization for Single-Cell Clustering in scRNA-Seq Data.
Hanjing Jiang, Mei-Neng Wang, Yu-An Huang, Yabing Huang

IEEE J Biomed Health Inform· August 2024

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Combining K Nearest Neighbor With Nonnegative Matrix Factorization for Predicting Circrna-Disease Associations.
Mei-Neng Wang, Xue-Jun Xie, Zhu-Hong You, Leon Wong, Li-Ping Li

IEEE/ACM Trans Comput Biol Bioinform· October 2023

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Combining non-negative matrix factorization with graph Laplacian regularization for predicting drug-miRNA associations based on multi-source information fusion.
Mei-Neng Wang, Yu Li, Li-Lan Lei, De-Wu Ding, Xue-Jun Xie

Front Pharmacol· February 2023

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A weighted non-negative matrix factorization approach to predict potential associations between drug and disease.
Mei-Neng Wang, Xue-Jun Xie, Zhu-Hong You, De-Wu Ding, Leon Wong

J Transl Med· December 2022

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SPCMLMI: A structural perturbation-based matrix completion method to predict lncRNA-miRNA interactions.
Mei-Neng Wang, Li-Lan Lei, Wei He, De-Wu Ding

Front Genet· November 2022

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A learning-based method to predict LncRNA-disease associations by combining CNN and ELM.
Zhen-Hao Guo, Zhan-Heng Chen, Zhu-Hong You, Yan-Bin Wang, Hai-Cheng Yi, Mei-Neng Wang

BMC Bioinformatics· March 2022

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Condition-Specific Molecular Network Analysis Revealed That Flagellar Proteins Are Involved in Electron Transfer Processes of WP3.
Dewu Ding, Meineng Wang, Meili Wu, Chengzhi Gan, Pu Wu

Genet Res (Camb)· January 2022

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RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information.
Hai-Cheng Yi, Zhu-Hong You, Mei-Neng Wang, Zhen-Hao Guo, Yan-Bin Wang

BMC Bioinformatics· February 2020

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