SANTA: Quantifying the Functional Content of Molecular Networks

PLoS Computational Biology

Volumn 10, Issue 9, 2014, Pages

  Cornish, Alex J ^a   Markowetz, Florian ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION REACTIONS; CELL CULTURE;

ASSOCIATION MEASURES; CELLULAR FUNCTION; CELLULAR PHENOTYPES; FOLLOW UP; GENE SETS; GUILT BY ASSOCIATIONS; MOLECULAR NETWORKS; NETWORK LIKES; SPATIAL STATISTICS; SYSTEMS BIOLOGY;

GENES;

ARTICLE; CANCER CELL LINE; CELL FUNCTION; CONTROLLED STUDY; GENE INTERACTION; GENETIC ASSOCIATION; MOLECULAR COMPUTER; MOLECULAR INTERACTION; MOLECULAR NETWORK; NONHUMAN; PHENOTYPE; RNA INTERFERENCE; SACCHAROMYCES CEREVISIAE; SIMULATION; SYSTEMS THEORY; BIOLOGICAL MODEL; CHEMICAL STRUCTURE; GENE REGULATORY NETWORK; GENETICS; HUMAN; PHYSIOLOGY; PROCEDURES; SIGNAL TRANSDUCTION; SYSTEMS BIOLOGY; TUMOR CELL LINE;

CELL LINE, TUMOR; GENE REGULATORY NETWORKS; HUMANS; MODELS, BIOLOGICAL; MODELS, MOLECULAR; RNA INTERFERENCE; SACCHAROMYCES CEREVISIAE; SIGNAL TRANSDUCTION; SYSTEMS BIOLOGY;

EID: 84907572339     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003808     Document Type: Article

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