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Bioinformatics (Oxford, England)
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May 19, 2025
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
Jiaqing Xie, Tianfan Fu
Arxiv
|
April 29, 2025
GraphPINE: Graph Importance propagation for interpretable drug response prediction
Yoshitaka Inoue, Tianfan Fu, Augustin Luna
Arxiv
|
May 27, 2024
drGAT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network
Yoshitaka Inoue, Hunmin Lee, Tianfan Fu, et al.
IJCAI : Proceedings of the Conference
|
March 26, 2021
DDL: Deep Dictionary Learning for Predictive Phenotyping
Tianfan Fu, Trong Nghia Hoang, Cao Xiao, et al.
IEEE Transactions on Knowledge and Data Engineering
|
January 2, 2023
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization
Tianfan Fu, Cao Xiao, Lucas M Glass, et al.
Arxiv
|
April 29, 2025
DruGagent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction
Yoshitaka Inoue, Tianci Song, Xinling Wang, et al.
Patterns (New York, N.Y.)
|
April 25, 2022
HINT: Hierarchical interaction network for clinical-trial-outcome predictions
Tianfan Fu, Kexin Huang, Cao Xiao, et al.
BMC Bioinformatics
|
June 16, 2026
drGT: Interpretable Drug Response Prediction with Attention-Guided Gene Attribution on a Drug-Cell-Gene Heterogeneous Graph
Yoshitaka Inoue, Hunmin Lee, Tianfan Fu, et al.
Bioinformatics (Oxford, England)
|
December 4, 2020
DeepPurpose: a deep learning library for drug-target interaction prediction
Kexin Huang, Tianfan Fu, Lucas M Glass, et al.
Health Data Science
|
April 22, 2024
Uncertainty Quantification and Interpretability for Clinical Trial Approval Prediction
Yingzhou Lu, Tianyi Chen, Nan Hao, et al.
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Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
Bioinformatics (Oxford, England)
|
May 19, 2025
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
Jiaqing Xie, Tianfan Fu
Arxiv
|
April 29, 2025
GraphPINE: Graph Importance propagation for interpretable drug response prediction
Yoshitaka Inoue, Tianfan Fu, Augustin Luna
Arxiv
|
May 27, 2024
drGAT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network
Yoshitaka Inoue, Hunmin Lee, Tianfan Fu, et al.
IJCAI : Proceedings of the Conference
|
March 26, 2021
DDL: Deep Dictionary Learning for Predictive Phenotyping
Tianfan Fu, Trong Nghia Hoang, Cao Xiao, et al.
IEEE Transactions on Knowledge and Data Engineering
|
January 2, 2023
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization
Tianfan Fu, Cao Xiao, Lucas M Glass, et al.
Arxiv
|
April 29, 2025
DruGagent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction
Yoshitaka Inoue, Tianci Song, Xinling Wang, et al.
Patterns (New York, N.Y.)
|
April 25, 2022
HINT: Hierarchical interaction network for clinical-trial-outcome predictions
Tianfan Fu, Kexin Huang, Cao Xiao, et al.
BMC Bioinformatics
|
June 16, 2026
drGT: Interpretable Drug Response Prediction with Attention-Guided Gene Attribution on a Drug-Cell-Gene Heterogeneous Graph
Yoshitaka Inoue, Hunmin Lee, Tianfan Fu, et al.
Bioinformatics (Oxford, England)
|
December 4, 2020
DeepPurpose: a deep learning library for drug-target interaction prediction
Kexin Huang, Tianfan Fu, Lucas M Glass, et al.
Health Data Science
|
April 22, 2024
Uncertainty Quantification and Interpretability for Clinical Trial Approval Prediction
Yingzhou Lu, Tianyi Chen, Nan Hao, et al.
Page
of 2