Long-Chen Shen

According to our database, Long-Chen Shen authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference.

Shuo Li, Yan Liu, Long-Chen Shen, He Yan, Jiangning Song, Dong-Jun Yu

Briefings Bioinform., January, 2024

2023

Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction.

Zi Liu, Yi-Heng Zhu, Long-Chen Shen, Xuan Xiao, Wangren Qiu, Dong-Jun Yu

Comput. Biol. Medicine, November, 2023

TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level.

Yan Liu, Guo Wei, Chen Li, Long-Chen Shen, Robin B. Gasser, Jiangning Song, Dijun Chen, Dong-Jun Yu

Briefings Bioinform., May, 2023

Learning Cell Annotation under Multiple Reference Datasets by Multisource Domain Adaptation.

Yan Liu, He Yan, Long-Chen Shen, Dong-Jun Yu

J. Chem. Inf. Model., 2023

2022

MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network.

Ke Han, Long-Chen Shen, Yi-Heng Zhu, Jian Xu, Jiangning Song, Dong-Jun Yu

Briefings Bioinform., 2022

2021

SAResNet: self-attention residual network for predicting DNA-protein binding.

Long-Chen Shen, Yan Liu, Jiangning Song, Dong-Jun Yu

Briefings Bioinform., 2021

Improving protein fold recognition using triplet network and ensemble deep learning.

Yan Liu, Ke Han, Yi-Heng Zhu, Ying Zhang, Long-Chen Shen, Jiangning Song, Dong-Jun Yu

Briefings Bioinform., 2021