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Biological Psychiatry
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June 27, 2025
Navigating the Causal Landscape of Psychiatric Disorders With PsyRiskMR
Shenggeng Lin, Yi Xiong
Molecular Therapy : the Journal of the American Society of Gene Therapy
|
December 9, 2025
Leveraging deep transfer learning for identification of essential human miRNAs
Shenggeng Lin, Tong Zhu, Ming Shang, et al.
Molecular Therapy. Nucleic Acids
|
May 28, 2024
Deep learning facilitates efficient optimization of antisense oligonucleotide drugs
Shenggeng Lin, Liang Hong, Dong-Qing Wei, et al.
Computers in Biology and Medicine
|
August 22, 2022
DeepPSE: Prediction of polypharmacy side effects by fusing deep representation of drug pairs and attention mechanism
Shenggeng Lin, Guangwei Zhang, Dong-Qing Wei, et al.
Briefings in Bioinformatics
|
March 22, 2024
ReHoGCNES-MDA: prediction of miRNA-disease associations using homogenous graph convolutional networks based on regular graph with random edge sampler
Yufang Zhang, Yanyi Chu, Shenggeng Lin, et al.
Journal of Cheminformatics
|
June 7, 2024
An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model
Yufang Zhang, Jiayi Li, Shenggeng Lin, et al.
Journal of Cheminformatics
|
November 16, 2022
MDDI-SCL: predicting multi-type drug-drug interactions via supervised contrastive learning
Shenggeng Lin, Weizhi Chen, Gengwang Chen, et al.
IEEE Journal of Biomedical and Health Informatics
|
March 3, 2025
GRATCR: Epitope-Specific T Cell Receptor Sequence Generation With Data-Efficient Pre-Trained Models
Zhenghong Zhou, Junwei Chen, Shenggeng Lin, et al.
Methods (San Diego, Calif.)
|
October 20, 2023
MATT-DDI: Predicting multi-type drug-drug interactions via heterogeneous attention mechanisms
Shenggeng Lin, Xueying Mao, Liang Hong, et al.
Journal of Chemical Information and Modeling
|
December 1, 2023
A Multimodal Deep Learning Framework for Predicting PPI-Modulator Interactions
Heqi Sun, Jianmin Wang, Hongyan Wu, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Biological Psychiatry
|
June 27, 2025
Navigating the Causal Landscape of Psychiatric Disorders With PsyRiskMR
Shenggeng Lin, Yi Xiong
Molecular Therapy : the Journal of the American Society of Gene Therapy
|
December 9, 2025
Leveraging deep transfer learning for identification of essential human miRNAs
Shenggeng Lin, Tong Zhu, Ming Shang, et al.
Molecular Therapy. Nucleic Acids
|
May 28, 2024
Deep learning facilitates efficient optimization of antisense oligonucleotide drugs
Shenggeng Lin, Liang Hong, Dong-Qing Wei, et al.
Computers in Biology and Medicine
|
August 22, 2022
DeepPSE: Prediction of polypharmacy side effects by fusing deep representation of drug pairs and attention mechanism
Shenggeng Lin, Guangwei Zhang, Dong-Qing Wei, et al.
Briefings in Bioinformatics
|
March 22, 2024
ReHoGCNES-MDA: prediction of miRNA-disease associations using homogenous graph convolutional networks based on regular graph with random edge sampler
Yufang Zhang, Yanyi Chu, Shenggeng Lin, et al.
Journal of Cheminformatics
|
June 7, 2024
An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model
Yufang Zhang, Jiayi Li, Shenggeng Lin, et al.
Journal of Cheminformatics
|
November 16, 2022
MDDI-SCL: predicting multi-type drug-drug interactions via supervised contrastive learning
Shenggeng Lin, Weizhi Chen, Gengwang Chen, et al.
IEEE Journal of Biomedical and Health Informatics
|
March 3, 2025
GRATCR: Epitope-Specific T Cell Receptor Sequence Generation With Data-Efficient Pre-Trained Models
Zhenghong Zhou, Junwei Chen, Shenggeng Lin, et al.
Methods (San Diego, Calif.)
|
October 20, 2023
MATT-DDI: Predicting multi-type drug-drug interactions via heterogeneous attention mechanisms
Shenggeng Lin, Xueying Mao, Liang Hong, et al.
Journal of Chemical Information and Modeling
|
December 1, 2023
A Multimodal Deep Learning Framework for Predicting PPI-Modulator Interactions
Heqi Sun, Jianmin Wang, Hongyan Wu, et al.
Page
of 2