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Fengfeng Zhou

Showing results (121-130 of 148) with videos related to

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Journal of Advanced Research|November 7, 2025
MolProphecy: Bridging medicinal chemists' knowledge and molecular pre-trained models via a multi-modal frameworkJianping Zhao, Qiong Zhou, Tian Wang, et al.
Journal of Advanced Research|May 3, 2025
AMPCliff: Quantitative definition and benchmarking of activity cliffs in antimicrobial peptidesKewei Li, Yuqian Wu, Yinheng Li, et al.
Medicina (Kaunas, Lithuania)|January 27, 2021
A Machine Learning-Based Investigation of Gender-Specific Prognosis of Lung CancersYueying Wang, Shuai Liu, Zhao Wang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 7, 2025
PepHarmony: a multi-view contrastive learning framework for integrated sequence and structure-based peptide representationRuochi Zhang, Haoran Wu, Chang Liu, et al.
Biodata Mining|April 11, 2026
SeqHIVE: a Python package to convert the biological sequences to informative vectors for sequence property predictionsXin Feng, Cheng Gao, Sudan Bai, et al.
Computers in Biology and Medicine|May 17, 2023
EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across speciesFei Li, Shuai Liu, Kewei Li, et al.
Briefings in Bioinformatics|August 1, 2025
PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acidsRuochi Zhang, Haoran Wu, Chang Liu, et al.
Journal of Ethnopharmacology|March 9, 2026
Buyanghuanwu decoction (BYHWD) attenuates hepatic fibrosis in CCl<sub>4</sub>-induced mice by regulating bile acid metabolism through activating PPARαXia Wei, Zikang Wang, Jiao Wang, et al.
Analytical Biochemistry|March 2, 2024
GANSamples-ac4C: Enhancing ac4C site prediction via generative adversarial networks and transfer learningFei Li, Jiale Zhang, Kewei Li, et al.
Bioinformatics (Oxford, England)|October 9, 2019
Feature selection may improve deep neural networks for the bioinformatics problemsZheng Chen, Meng Pang, Zixin Zhao, et al.
Pageof 15

Showing results (121-130 of 148) with videos related to

Sort By:
Pageof 15
Journal of Advanced Research|November 7, 2025
MolProphecy: Bridging medicinal chemists' knowledge and molecular pre-trained models via a multi-modal frameworkJianping Zhao, Qiong Zhou, Tian Wang, et al.
Journal of Advanced Research|May 3, 2025
AMPCliff: Quantitative definition and benchmarking of activity cliffs in antimicrobial peptidesKewei Li, Yuqian Wu, Yinheng Li, et al.
Medicina (Kaunas, Lithuania)|January 27, 2021
A Machine Learning-Based Investigation of Gender-Specific Prognosis of Lung CancersYueying Wang, Shuai Liu, Zhao Wang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 7, 2025
PepHarmony: a multi-view contrastive learning framework for integrated sequence and structure-based peptide representationRuochi Zhang, Haoran Wu, Chang Liu, et al.
Biodata Mining|April 11, 2026
SeqHIVE: a Python package to convert the biological sequences to informative vectors for sequence property predictionsXin Feng, Cheng Gao, Sudan Bai, et al.
Computers in Biology and Medicine|May 17, 2023
EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across speciesFei Li, Shuai Liu, Kewei Li, et al.
Briefings in Bioinformatics|August 1, 2025
PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acidsRuochi Zhang, Haoran Wu, Chang Liu, et al.
Journal of Ethnopharmacology|March 9, 2026
Buyanghuanwu decoction (BYHWD) attenuates hepatic fibrosis in CCl<sub>4</sub>-induced mice by regulating bile acid metabolism through activating PPARαXia Wei, Zikang Wang, Jiao Wang, et al.
Analytical Biochemistry|March 2, 2024
GANSamples-ac4C: Enhancing ac4C site prediction via generative adversarial networks and transfer learningFei Li, Jiale Zhang, Kewei Li, et al.
Bioinformatics (Oxford, England)|October 9, 2019
Feature selection may improve deep neural networks for the bioinformatics problemsZheng Chen, Meng Pang, Zixin Zhao, et al.
Pageof 15