Interpretable deep learning architectures for improving drug response prediction performance: myth or reality? | Bioinformatics;39(6)2023 06 01. | MEDLINE

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

Li, Yihui; Hostallero, David Earl; Emad, Amin.

Affiliation

Li Y; Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada.
Hostallero DE; Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada.
Emad A; Mila, Quebec AI Institute, Montreal, QC, Canada.

Bioinformatics ; 39(6)2023 06 01.

Article in En | MEDLINE | ID: mdl-37326960

Subject(s)

Deep Learning; Neural Networks, Computer; Random Forest

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Full text: 1 Database: MEDLINE Main subject: Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: Canada

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Full text: 1 Database: MEDLINE Main subject: Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: Canada