Network-free inference of knockout effects in yeast

PLoS Computational Biology

Volumn 6, Issue 1, 2010, Pages

  Peleg, Tal ^a   Yosef, Nir ^a   Ruppin, Eytan ^a   Sharan, Roded ^a  

^a TEL AVIV UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

CELL SIGNALING; CLUSTERING ALGORITHMS; FORECASTING; GENE EXPRESSION;

CLUSTERINGS; EXPRESSION LEVELS; GENE-KNOCKOUT EXPERIMENTS; LARGE-SCALES; LIVING CELL; NETWORK INFORMATION; PHYSICAL INTERACTIONS; PHYSICAL NETWORK; STATE OF THE ART; WIRING DIAGRAM;

YEAST;

ACCURACY; ALGORITHM; ARTICLE; GENE EXPRESSION; GENE IDENTIFICATION; GENOME; NONHUMAN; PREDICTION; PROTEIN PROTEIN INTERACTION; VALIDATION STUDY; YEAST; CLUSTER ANALYSIS; FUNGAL GENE; GENE INACTIVATION; GENE REGULATORY NETWORK; GENETICS; METHODOLOGY; REPRODUCIBILITY; STATISTICAL MODEL; SYSTEMS BIOLOGY;

ALGORITHMS; CLUSTER ANALYSIS; GENE KNOCKOUT TECHNIQUES; GENE REGULATORY NETWORKS; GENES, FUNGAL; LINEAR MODELS; REPRODUCIBILITY OF RESULTS; SYSTEMS BIOLOGY; YEASTS;

EID: 76749100265     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000635     Document Type: Article

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