Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2105

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer ; volume:23 ; number:3 ; day:28 ; month:4 ; year:2022 ; pages:1-19 ; date:3.2022
BMC bioinformatics ; 23, Heft 3 (28.4.2022), 1-19, 3.2022

Creator: Bhadra, Tapas
Mallik, Saurav
Hasan, Neaj
Zhao, Zhongming

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12859-022-04678-y

URN: urn:nbn:de:101:1-2022070821534102262814

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:23 AM CEST

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Bhadra, Tapas
Mallik, Saurav
Hasan, Neaj
Zhao, Zhongming
SpringerLink (Online service)

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Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer

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