A novel statistical approach for identification of the master regulator transcription factor
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Umfang
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Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A novel statistical approach for identification of the master regulator transcription factor ; volume:18 ; number:1 ; day:2 ; month:2 ; year:2017 ; pages:1-11 ; date:12.2017
BMC bioinformatics ; 18, Heft 1 (2.2.2017), 1-11, 12.2017
- Klassifikation
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Biowissenschaften, Biologie
- Urheber
-
Sikdar, Sinjini
- Beteiligte Personen und Organisationen
-
Datta, Susmita
SpringerLink (Online service)
- DOI
-
10.1186/s12859-017-1499-x
- URN
-
urn:nbn:de:101:1-2018091517064626967568
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 MESZ
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Beteiligte
- Sikdar, Sinjini
- Datta, Susmita
- SpringerLink (Online service)
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