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

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


	Document type :	Scientific journals : Article
	Discipline(s) :	Life sciences : Biotechnology
	To cite this reference:	http://hdl.handle.net/10993/38951

Title :	A general computational approach to predicting synergistic transcriptional cores that determine cell subpopulation identities
Language :	English
Author, co-author :	Okawa, Satoshi [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	del Sol Mesa, Antonio [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Publication date :	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/10993/38951

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Open access	Okawa_delSol_2019.pdf		Publisher postprint	676.74 kB	View/Open

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