A comprehensive survey on computational learning methods for analysis of gene expression data.

Bhandari, Nikita; Walambe, Rahee; Kotecha, Ketan; Khare, Satyajeet P

Bhandari, Nikita; Walambe, Rahee; Kotecha, Ketan; Khare, Satyajeet P.

Afiliación

Bhandari N; Computer Science Department, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India.
Walambe R; Electronics and Telecommunication Department, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India.
Kotecha K; Symbiosis Center for Applied AI (SCAAI), Symbiosis International (Deemed University), Pune, India.
Khare SP; Computer Science Department, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India.

Front Mol Biosci ; 9: 907150, 2022.

Article en En | MEDLINE | ID: mdl-36458095

Palabras clave

deep learning; explainable techniques; feature selection; gene expression; interpretation; machine learning; microarray; missing value imputation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Mol Biosci Año: 2022 Tipo del documento: Article País de afiliación: India

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