Jing-Xiu Zhao

According to our database, Jing-Xiu Zhao authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection.

Dai-Jun Zhang, Ying-Lian Gao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu

IEEE Trans. Neural Networks Learn. Syst., February, 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

Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data.

Jin-Xing Liu, Dai-Jun Zhang, Jing-Xiu Zhao, Chun-Hou Zheng, Ying-Lian Gao

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

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

Adaptive total-variation joint learning model for analyzing single cell RNA seq data.

Dai-Jun Zhang, Jing-Xiu Zhao, Jin-Xing Liu, Ying-Lian Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021