Multiple genetic interaction experiments provide complementary information useful for gene function prediction

PLoS Computational Biology

Volumn 8, Issue 6, 2012, Pages

  Michaut, Magali ^a,c   Bader, Gary D ^a,b  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c NETHERLANDS CANCER INSTITUTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

GENES;

BIOLOGICAL PROCESS; EXPERIMENTAL CONDITIONS; FUNCTIONAL RELATIONSHIP; GENE FUNCTION PREDICTION; GENETIC INTERACTION; GENETIC MUTATIONS; INTERACTION NETWORKS; LABORATORY CONDITIONS; LEARN+; SYSTEMATIC ANALYSIS;

YEAST;

AREA UNDER THE CURVE; ARTICLE; CONTROLLED STUDY; FUNGAL GENE; FUNGAL GENETICS; GENE FUNCTION; GENE INTERACTION; GENE MAPPING; GENE REGULATORY NETWORK; GENETIC SCREENING; GROWTH RATE; MOLECULAR INTERACTION; MUTATIONAL ANALYSIS; NONHUMAN; PHENOTYPIC VARIATION; PREDICTION; QUANTITATIVE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; SACCHAROMYCES CEREVISIAE; BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; FUNGAL GENOME; GENETIC EPISTASIS; GENETICS; GROWTH, DEVELOPMENT AND AGING; MUTATION; PHENOTYPE;

SACCHAROMYCES CEREVISIAE;

COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; EPISTASIS, GENETIC; GENE REGULATORY NETWORKS; GENOME, FUNGAL; MODELS, GENETIC; MUTATION; PHENOTYPE; SACCHAROMYCES CEREVISIAE;

EID: 84864046645     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002559     Document Type: Article

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