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Junru Jin

Showing results (11-20 of 25) with videos related to

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Computers in Biology and Medicine|July 29, 2023
Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modificationsSirui Liang, Yanxi Zhao, Junru Jin, et al.
Computers in Biology and Medicine|May 27, 2023
DrugormerDTI: Drug Graphormer for drug-target interaction predictionJiayue Hu, Wang Yu, Chao Pang, et al.
Bioinformatics (Oxford, England)|February 2, 2024
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptidesDing Wang, Junru Jin, Zhongshen Li, et al.
European Journal of Medicinal Chemistry|April 15, 2026
Accurate and interpretable ADMET prediction: Integrating structural, geometric, and global molecular context representationsKe Qiu, Kefei Li, Jianbo Qiao, et al.
Briefings in Bioinformatics|December 9, 2021
Accelerating bioactive peptide discovery via mutual information-based meta-learningWenjia He, Yi Jiang, Junru Jin, et al.
Nature Communications|October 3, 2023
Retrosynthesis prediction with an interpretable deep-learning framework based on molecular assembly tasksYu Wang, Chao Pang, Yuzhe Wang, et al.
Journal of Molecular Biology|February 3, 2025
ERNIE-ac4C: A Novel Deep Learning Model for Effectively Predicting N4-acetylcytidine SitesRonglin Lu, Jianbo Qiao, Kefei Li, et al.
Briefings in Bioinformatics|October 20, 2023
CoraL: interpretable contrastive meta-learning for the prediction of cancer-associated ncRNA-encoded small peptidesZhongshen Li, Junru Jin, Wenjia He, et al.
Nucleic Acids Research|February 16, 2023
DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysisRuheng Wang, Yi Jiang, Junru Jin, et al.
Briefings in Bioinformatics|September 1, 2025
MCAMEF-BERT: an efficient deep learning method for RNA N7-methylguanosine site prediction via multi-branch feature integrationJunlei Yu, Wenjia Gao, Siqi Chen, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
Computers in Biology and Medicine|July 29, 2023
Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modificationsSirui Liang, Yanxi Zhao, Junru Jin, et al.
Computers in Biology and Medicine|May 27, 2023
DrugormerDTI: Drug Graphormer for drug-target interaction predictionJiayue Hu, Wang Yu, Chao Pang, et al.
Bioinformatics (Oxford, England)|February 2, 2024
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptidesDing Wang, Junru Jin, Zhongshen Li, et al.
European Journal of Medicinal Chemistry|April 15, 2026
Accurate and interpretable ADMET prediction: Integrating structural, geometric, and global molecular context representationsKe Qiu, Kefei Li, Jianbo Qiao, et al.
Briefings in Bioinformatics|December 9, 2021
Accelerating bioactive peptide discovery via mutual information-based meta-learningWenjia He, Yi Jiang, Junru Jin, et al.
Nature Communications|October 3, 2023
Retrosynthesis prediction with an interpretable deep-learning framework based on molecular assembly tasksYu Wang, Chao Pang, Yuzhe Wang, et al.
Journal of Molecular Biology|February 3, 2025
ERNIE-ac4C: A Novel Deep Learning Model for Effectively Predicting N4-acetylcytidine SitesRonglin Lu, Jianbo Qiao, Kefei Li, et al.
Briefings in Bioinformatics|October 20, 2023
CoraL: interpretable contrastive meta-learning for the prediction of cancer-associated ncRNA-encoded small peptidesZhongshen Li, Junru Jin, Wenjia He, et al.
Nucleic Acids Research|February 16, 2023
DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysisRuheng Wang, Yi Jiang, Junru Jin, et al.
Briefings in Bioinformatics|September 1, 2025
MCAMEF-BERT: an efficient deep learning method for RNA N7-methylguanosine site prediction via multi-branch feature integrationJunlei Yu, Wenjia Gao, Siqi Chen, et al.
Pageof 3