DrugRepPT: a deep pretraining and fine-tuning framework for drug repositioning based on drug’s expression perturbation and treatment effectiveness

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Publication Details

Journal
Bioinformatics
Published
2024-11-19
DOI
https://doi.org/10.1093/bioinformatics/btae692
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.36

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article

DrugRepPT: a deep pretraining and fine-tuning framework for drug repositioning based on drug’s expression perturbation and treatment effectiveness

Jianyang Zeng, Kezhi Lu, Qiang Zhu, Kuo Yang et al.
1 citations
Bioinformatics
Computational Drug Discovery Methods
0.36
article

DrugRepPT: a deep pretraining and fine-tuning framework for drug repositioning based on drug’s expression perturbation and treatment effectiveness

Jianyang Zeng, Kezhi Lu, Qiang Zhu, Kuo Yang, Xuezhong Zhou, Shao Li, Shuyue Fan, Dong Xin, Xianan Li
article en
1 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 40(12)
University of Technology Sydney (AU), Beijing Jiaotong University (CN), Westlake University (CN), Australian Institute of Nuclear Science and Engineering (AU), Tsinghua University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality, National Science and Technology Major Project, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 34%
Computational Drug Discovery Methods
0.36
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DrugRepPT: a deep pretraining and fine-tuning framework for drug repositioning based on drug’s expression perturbation and treatment effectiveness — Jianyang Zeng, Kezhi Lu, et al. · Bioinformatics (2024) | TGRS Research Map | TGRS