Long-Chen Shen

According to our database, Long-Chen Shen authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

CellPredX, a computational framework for cross-data type, cross-sample, and cross-protocol cell type annotation through domain adaptation and deep metric learning.

Yan Liu, Yu Xia, He Yan, Long-Chen Shen, Yiheng Zhu, Ji-Peng Qiang, Guo Wei

PLoS Comput. Biol., 2026

2025

MUSIC-GCN: A Novel Multi-Tasking Pipeline for Analyzing Single-Cell Transcriptomic Data Using Residual Graph Convolution Network.

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

IEEE Trans. Comput. Biol. Bioinform., 2025

Supervised contrastive learning enhances MHC-II peptide binding affinity prediction.

Long-Chen Shen, Yan Liu, Zi Liu, Yumeng Zhang, Zhikang Wang, Yuming Guo, Jamie Rossjohn, Jiangning Song, Dong-Jun Yu

Expert Syst. Appl., 2025

scRCA: A Siamese network-based pipeline for annotating cell types using noisy single-cell RNA-seq reference data.

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

Comput. Biol. Medicine, 2025

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., March, 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