Interpretable deep learning architectures for improving drug response prediction performance: myth or reality?

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第一作者： Yihui,Li

第一单位： Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada.

作者： Yihui,Li ^[1] ; David Earl,Hostallero ^[1] ; Amin,Emad ^[2]

作者单位： Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada. ^[1] Mila, Quebec AI Institute, Montreal, QC, Canada. ^[2] The Rosalind and Morris Goodman Cancer Institute, Montreal, QC, Canada. ^[3]

DOI 10.1093/bioinformatics/btad390

PMID 37326960

发布时间 2023-07-03

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Bioinformatics (Oxford, England)

2023年39卷6期

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Interpretable deep learning architectures for improving drug response prediction performance: myth or reality?

Bioinformatics (Oxford, England)

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Interpretable deep learning architectures for improving drug response prediction performance: myth or reality?

Bioinformatics (Oxford, England)

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Bioinformatics (Oxford, England)

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