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Long-Chen Shen

Showing results (1-10 of 14) with videos related to

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Journal of Chemical Information and Modeling|December 29, 2022
Learning Cell Annotation under Multiple Reference Datasets by Multisource Domain AdaptationYan Liu, He Yan, Long-Chen Shen, et al.
Briefings in Bioinformatics|April 10, 2021
SAResNet: self-attention residual network for predicting DNA-protein bindingLong-Chen Shen, Yan Liu, Jiangning Song, et al.
Plos Computational Biology|April 30, 2026
Cell type annotation for scATAC-seq via DNA large language model and graph domain adaptationYan Liu, Sheng Guan, He Yan, et al.
Briefings in Bioinformatics|January 23, 2024
GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inferenceShuo Li, Yan Liu, Long-Chen Shen, et al.
Briefings in Bioinformatics|October 19, 2021
MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual networkKe Han, Long-Chen Shen, Yi-Heng Zhu, et al.
Analytical Biochemistry|September 1, 2022
Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant codingYu-Hang Yin, Long-Chen Shen, Yuanhao Jiang, et al.
Plos Computational Biology|January 2, 2026
CellPredX, a computational framework for cross-data type, cross-sample, and cross-protocol cell type annotation through domain adaptation and deep metric learningYan Liu, Yu Xia, He Yan, et al.
Computers in Biology and Medicine|September 25, 2023
Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact predictionZi Liu, Yi-Heng Zhu, Long-Chen Shen, et al.
Bioinformatics (Oxford, England)|December 27, 2025
Genome- and Peak-Informed Two-Stage Framework for scATAC-seq Cell Type IdentificationYan Liu, Sheng Guan, He Yan, et al.
Briefings in Bioinformatics|July 6, 2021
Improving protein fold recognition using triplet network and ensemble deep learningYan Liu, Ke Han, Yi-Heng Zhu, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Journal of Chemical Information and Modeling|December 29, 2022
Learning Cell Annotation under Multiple Reference Datasets by Multisource Domain AdaptationYan Liu, He Yan, Long-Chen Shen, et al.
Briefings in Bioinformatics|April 10, 2021
SAResNet: self-attention residual network for predicting DNA-protein bindingLong-Chen Shen, Yan Liu, Jiangning Song, et al.
Plos Computational Biology|April 30, 2026
Cell type annotation for scATAC-seq via DNA large language model and graph domain adaptationYan Liu, Sheng Guan, He Yan, et al.
Briefings in Bioinformatics|January 23, 2024
GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inferenceShuo Li, Yan Liu, Long-Chen Shen, et al.
Briefings in Bioinformatics|October 19, 2021
MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual networkKe Han, Long-Chen Shen, Yi-Heng Zhu, et al.
Analytical Biochemistry|September 1, 2022
Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant codingYu-Hang Yin, Long-Chen Shen, Yuanhao Jiang, et al.
Plos Computational Biology|January 2, 2026
CellPredX, a computational framework for cross-data type, cross-sample, and cross-protocol cell type annotation through domain adaptation and deep metric learningYan Liu, Yu Xia, He Yan, et al.
Computers in Biology and Medicine|September 25, 2023
Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact predictionZi Liu, Yi-Heng Zhu, Long-Chen Shen, et al.
Bioinformatics (Oxford, England)|December 27, 2025
Genome- and Peak-Informed Two-Stage Framework for scATAC-seq Cell Type IdentificationYan Liu, Sheng Guan, He Yan, et al.
Briefings in Bioinformatics|July 6, 2021
Improving protein fold recognition using triplet network and ensemble deep learningYan Liu, Ke Han, Yi-Heng Zhu, et al.
Pageof 2