Globally learning gene regulatory networks based on hidden atomic regulators from transcriptomic big data
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Globally learning gene regulatory networks based on hidden atomic regulators from transcriptomic big data ; volume:21 ; number:1 ; day:14 ; month:10 ; year:2020 ; pages:1-14 ; date:12.2020
BMC genomics ; 21, Heft 1 (14.10.2020), 1-14, 12.2020
- Urheber
-
Shi, Ming
Tan, Sheng
Xie, Xin-Ping
Li, Ao
Yang, Wulin
Zhu, Tao
Wang, Hong-Qiang
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12864-020-07079-8
- URN
-
urn:nbn:de:101:1-2020112914303213379516
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:21 MESZ
Datenpartner
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Beteiligte
- Shi, Ming
- Tan, Sheng
- Xie, Xin-Ping
- Li, Ao
- Yang, Wulin
- Zhu, Tao
- Wang, Hong-Qiang
- SpringerLink (Online service)
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