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Article (Scientific journals)
A general computational approach to predicting synergistic transcriptional cores that determine cell subpopulation identities
Okawa, Satoshi; del Sol Mesa, Antonio
2019 • In Nucleic Acids Research
Peer Reviewed verified by ORBi
Permalink
https://hdl.handle.net/10993/38951
DOI
10.1093/nar/gkz147
PubMed
30820550
 

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Disciplines :
Biotechnology
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)
External co-authors :
yes
Language :
English
Title :
A general computational approach to predicting synergistic transcriptional cores that determine cell subpopulation identities
Publication date :
2019
Journal title :
Nucleic Acids Research
ISSN :
1362-4962
Publisher :
Oxford University Press, Oxford, United Kingdom
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 01 March 2019

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