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

Article (Scientific journals)

del Sol Mesa, Antonio

2019 • In Nucleic Acids Research

Peer Reviewed verified by ORBi

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https://hdl.handle.net/10993/38950

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Disciplines :

Life sciences: Multidisciplinary, general & others

Author, co-author :

del Sol Mesa, Antonio ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)

External co-authors :

Language :

English

Title :

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

Publication date :

01 March 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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181 (9 by Unilu)