Feng Zhou

According to our database, Feng Zhou authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction.

Cui-Na Jiao, Feng Zhou, Bao-Min Liu, Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao

IEEE J. Biomed. Health Informatics, February, 2024

ViTax: adaptive hierarchical viral taxonomy classification with a taxonomy belief tree on a foundation model.

Yushuang He, Feng Zhou, Jiaxing Bai, Yichun Gao, Xiaobing Huang, Ying Wang

Briefings Bioinform., 2024

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

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

LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy.

Wen-Yu Xi, Feng Zhou, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng

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

2022

A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism.

Bao-Min Liu, Ying-Lian Gao, Dai-Jun Zhang, Feng Zhou, Juan Wang, Chun-Hou Zheng, Jin-Xing Liu

Briefings Bioinform., 2022

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