Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data sets
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data sets ; volume:13 ; number:1 ; day:3 ; month:2 ; year:2012 ; pages:1-15 ; date:12.2012
BMC bioinformatics ; 13, Heft 1 (3.2.2012), 1-15, 12.2012
- Urheber
-
Yao, Fangzhou
- Beteiligte Personen und Organisationen
-
Coquery, Jeff
Lê Cao, Kim-Anh
SpringerLink (Online service)
- DOI
-
10.1186/1471-2105-13-24
- URN
-
urn:nbn:de:1111-2016021733066
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:29 MESZ
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Beteiligte
- Yao, Fangzhou
- Coquery, Jeff
- Lê Cao, Kim-Anh
- SpringerLink (Online service)
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