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Briefings in Bioinformatics
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December 18, 2022
VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants
Fang Ge, Chen Li, Shahid Iqbal, et al.
Nature Communications
|
November 6, 2025
Memristor-based adaptive analog-to-digital conversion for efficient and accurate compute-in-memory
Haiqiao Hong, Zhiyuan Du, Mingrui Jiang, et al.
Bioinformatics (Oxford, England)
|
May 19, 2021
HEAL: an automated deep learning framework for cancer histopathology image analysis
Yanan Wang, Nicolas Coudray, Yun Zhao, et al.
Genomics, Proteomics & Bioinformatics
|
May 16, 2020
Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information
Fuyi Li, Andre Leier, Quanzhong Liu, et al.
Bioinformatics (Oxford, England)
|
October 26, 2017
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy
Jiangning Song, Fuyi Li, André Leier, et al.
Briefings in Bioinformatics
|
June 27, 2023
iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities
Jing Xu, Fuyi Li, Chen Li, et al.
Briefings in Bioinformatics
|
November 19, 2020
DeepBL: a deep learning-based approach for in silico discovery of beta-lactamases
Yanan Wang, Fuyi Li, Manasa Bharathwaj, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
August 20, 2020
A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction
Menglu Li, Yanan Wang, Fuyi Li, et al.
ACS Chemical Neuroscience
|
March 7, 2024
Nav1.7 Modulator Bearing a 3-Hydroxyindole Backbone Holds the Potential to Reverse Neuropathic Pain
Yuwei Wang, Jirong Shu, Haoyi Yang, et al.
Nucleic Acids Research
|
March 4, 2021
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
Zhen Chen, Pei Zhao, Chen Li, et al.
Page
of 11
Search research articles
Search
Showing results (81-90 of 109) with videos related to
Sort By:
Page
of 11
Briefings in Bioinformatics
|
December 18, 2022
VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants
Fang Ge, Chen Li, Shahid Iqbal, et al.
Nature Communications
|
November 6, 2025
Memristor-based adaptive analog-to-digital conversion for efficient and accurate compute-in-memory
Haiqiao Hong, Zhiyuan Du, Mingrui Jiang, et al.
Bioinformatics (Oxford, England)
|
May 19, 2021
HEAL: an automated deep learning framework for cancer histopathology image analysis
Yanan Wang, Nicolas Coudray, Yun Zhao, et al.
Genomics, Proteomics & Bioinformatics
|
May 16, 2020
Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information
Fuyi Li, Andre Leier, Quanzhong Liu, et al.
Bioinformatics (Oxford, England)
|
October 26, 2017
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy
Jiangning Song, Fuyi Li, André Leier, et al.
Briefings in Bioinformatics
|
June 27, 2023
iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities
Jing Xu, Fuyi Li, Chen Li, et al.
Briefings in Bioinformatics
|
November 19, 2020
DeepBL: a deep learning-based approach for in silico discovery of beta-lactamases
Yanan Wang, Fuyi Li, Manasa Bharathwaj, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
August 20, 2020
A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction
Menglu Li, Yanan Wang, Fuyi Li, et al.
ACS Chemical Neuroscience
|
March 7, 2024
Nav1.7 Modulator Bearing a 3-Hydroxyindole Backbone Holds the Potential to Reverse Neuropathic Pain
Yuwei Wang, Jirong Shu, Haoyi Yang, et al.
Nucleic Acids Research
|
March 4, 2021
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
Zhen Chen, Pei Zhao, Chen Li, et al.
Page
of 11