Dai-Jun Zhang

According to our database, Dai-Jun Zhang authored at least 5 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

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

Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder.

Yue Gao, Dai-Jun Zhang, Cui-Na Jiao, Ying-Lian Gao, Jin-Xing Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 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

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