In-silico identification of phenotype-biased functional modules

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1477-5956

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: In-silico identification of phenotype-biased functional modules ; volume:10 ; number:1 ; day:21 ; month:6 ; year:2012 ; pages:1-10 ; date:12.2012
Proteome science ; 10, Heft 1 (21.6.2012), 1-10, 12.2012

Creator: Padmanabhan, Kanchana
Wilson, Kevin
Rocha, Andrea M.
Wang, Kuangyu
Mihelcic, James R.
Samatova, Nagiza F.

Contributor: SpringerLink (Online service)

DOI: 10.1186/1477-5956-10-S1-S2

URN: urn:nbn:de:101:1-2021081409200834287155

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

Last update: 14.08.2025, 10:51 AM CEST

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Padmanabhan, Kanchana
Wilson, Kevin
Rocha, Andrea M.
Wang, Kuangyu
Mihelcic, James R.
Samatova, Nagiza F.
SpringerLink (Online service)

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In-silico identification of phenotype-biased functional modules

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