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Fangping Wan

Showing results (1-10 of 28) with videos related to

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Nature Biomedical Engineering|April 24, 2023
Mining for antimicrobial peptides in sequence spaceFangping Wan, Cesar de la Fuente-Nunez
Bioinformatics (Oxford, England)|December 19, 2018
NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactionsFangping Wan, Lixiang Hong, An Xiao, et al.
Digital Discovery|June 30, 2022
Deep generative models for peptide designFangping Wan, Daphne Kontogiorgos-Heintz, Cesar de la Fuente-Nunez
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 24, 2024
Analyzing Large-Scale Single-Cell RNA-Seq Data Using CoresetKhalid Usman, Fangping Wan, Dan Zhao, et al.
Biorxiv : the Preprint Server for Biology|November 28, 2024
Discovery of antibiotics in the archaeome using deep learningMarcelo D T Torres, Fangping Wan, Cesar de la Fuente-Nunez
Nature Microbiology|June 19, 2026
Deep learning reveals antimicrobial peptides within prionsMarcelo D T Torres, Fangping Wan, Cesar de la Fuente-Nunez
Nature Microbiology|August 12, 2025
Deep learning reveals antibiotics in the archaeal proteomeMarcelo D T Torres, Fangping Wan, Cesar de la Fuente-Nunez
Iscience|October 24, 2022
Improving molecular property prediction through a task similarity enhanced transfer learning strategyHan Li, Xinyi Zhao, Shuya Li, et al.
Nature Reviews Bioengineering|January 24, 2025
Machine learning for antimicrobial peptide identification and designFangping Wan, Felix Wong, James J Collins, et al.
Frontiers in Pharmacology|March 19, 2020
EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality PredictionFangping Wan, Shuya Li, Tingzhong Tian, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Nature Biomedical Engineering|April 24, 2023
Mining for antimicrobial peptides in sequence spaceFangping Wan, Cesar de la Fuente-Nunez
Bioinformatics (Oxford, England)|December 19, 2018
NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactionsFangping Wan, Lixiang Hong, An Xiao, et al.
Digital Discovery|June 30, 2022
Deep generative models for peptide designFangping Wan, Daphne Kontogiorgos-Heintz, Cesar de la Fuente-Nunez
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 24, 2024
Analyzing Large-Scale Single-Cell RNA-Seq Data Using CoresetKhalid Usman, Fangping Wan, Dan Zhao, et al.
Biorxiv : the Preprint Server for Biology|November 28, 2024
Discovery of antibiotics in the archaeome using deep learningMarcelo D T Torres, Fangping Wan, Cesar de la Fuente-Nunez
Nature Microbiology|June 19, 2026
Deep learning reveals antimicrobial peptides within prionsMarcelo D T Torres, Fangping Wan, Cesar de la Fuente-Nunez
Nature Microbiology|August 12, 2025
Deep learning reveals antibiotics in the archaeal proteomeMarcelo D T Torres, Fangping Wan, Cesar de la Fuente-Nunez
Iscience|October 24, 2022
Improving molecular property prediction through a task similarity enhanced transfer learning strategyHan Li, Xinyi Zhao, Shuya Li, et al.
Nature Reviews Bioengineering|January 24, 2025
Machine learning for antimicrobial peptide identification and designFangping Wan, Felix Wong, James J Collins, et al.
Frontiers in Pharmacology|March 19, 2020
EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality PredictionFangping Wan, Shuya Li, Tingzhong Tian, et al.
Pageof 3