Qing-Wen Wu

According to our database, Qing-Wen Wu authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

2024

A Retrieval-Based Molecular Style Transformation Optimization Model.

Cheng Wang, Ya-Jie Zhang, Xin Xia, Yan-Sen Su, Chun-Hou Zheng, Qing-Wen Wu

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2022

Extra Trees Method for Predicting LncRNA-Disease Association Based On Multi-Layer Graph Embedding Aggregation.

Qing-Wen Wu, Rui-Fen Cao, Jun-Feng Xia, Jian-Cheng Ni, Chunhou Zheng, Yan-Sen Su

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs.

Zhen Gao, Yu-Tian Wang, Qing-Wen Wu, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021

MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features.

Yu-Tian Wang, Qing-Wen Wu, Zhen Gao, Jian-Cheng Ni, Chun-Hou Zheng

BMC Medical Informatics Decis. Mak., 2021

AEMDA: inferring miRNA-disease associations based on deep autoencoder.

Cunmei Ji, Zhen Gao, Xu Ma, Qing-Wen Wu, Jian-Cheng Ni, Chunhou Zheng

Bioinform., 2021

GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest.

Qing-Wen Wu, Jun-Feng Xia, Jian-Cheng Ni, Chun-Hou Zheng

Briefings Bioinform., 2021

2020

Graph regularized L_{2, 1}-nonnegative matrix factorization for miRNA-disease association prediction.

Zhen Gao, Yu-Tian Wang, Qing-Wen Wu, Jian-Cheng Ni, Chun-Hou Zheng

BMC Bioinform., 2020

2019

HGMDA: HyperGraph for Predicting MiRNA-Disease Association.

Qing-Wen Wu, Yu-Tian Wang, Zhen Gao, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng

Proceedings of the Intelligent Computing Theories and Application, 2019