A general computational approach to predicting synergistic transcriptional cores that determine cellsubpopulation identities

Reference : A general computational approach to predicting synergistic transcriptional cores that...


	Document type :	Scientific journals : Article
	Discipline(s) :	Life sciences : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/38950

Title :	A general computational approach to predicting synergistic transcriptional cores that determine cellsubpopulation identities
Language :	English
Author, co-author :	del Sol Mesa, Antonio [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Publication date :	1-Mar-2019
Journal title :	Nucleic Acids Research
Publisher :	Oxford University Press
Peer reviewed :	Yes (verified by ORBi^lu)
ISSN :	0305-1048
e-ISSN :	1362-4962
City :	Oxford
Country :	United Kingdom
Permalink :	http://hdl.handle.net/10993/38950

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