Long-Chen Shen

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Metric Learning

Transcription Factor Binding Sites

Multiple Sequence Alignments

Top Venues

Briefings Bioinform.

Comput. Biol. Medicine

J. Chem. Inf. Model.

Publications

Shuo Li, Yan Liu, Long-Chen Shen, He Yan, Jiangning Song, Dong-Jun Yu
GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference. Briefings Bioinform. 25 (2) (2024)
Yan Liu, Guo Wei, Chen Li, Long-Chen Shen, Robin B. Gasser, Jiangning Song, Dijun Chen, Dong-Jun Yu
TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level. Briefings Bioinform. 24 (3) (2023)
Zi Liu, Yi-Heng Zhu, Long-Chen Shen, Xuan Xiao, Wangren Qiu, Dong-Jun Yu
Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction. Comput. Biol. Medicine 166 (2023)
Yan Liu, He Yan, Long-Chen Shen, Dong-Jun Yu
Learning Cell Annotation under Multiple Reference Datasets by Multisource Domain Adaptation. J. Chem. Inf. Model. 63 (1) (2023)
Ke Han, Long-Chen Shen, Yi-Heng Zhu, Jian Xu, Jiangning Song, Dong-Jun Yu
MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network. Briefings Bioinform. 23 (1) (2022)
Long-Chen Shen, Yan Liu, Jiangning Song, Dong-Jun Yu
SAResNet: self-attention residual network for predicting DNA-protein binding. Briefings Bioinform. 22 (5) (2021)
Yan Liu, Ke Han, Yi-Heng Zhu, Ying Zhang, Long-Chen Shen, Jiangning Song, Dong-Jun Yu
Improving protein fold recognition using triplet network and ensemble deep learning. Briefings Bioinform. 22 (6) (2021)