Gene co-expression network topology provides a framework for molecular characterization of cellular state

Bioinformatics

Volumn 20, Issue 14, 2004, Pages 2242-2250

  Carter, Scott L ^a   Brechbühler, Christian M ^a   Griffin, Michael ^a   Bond, Andrew T ^a  

^a Xpogen Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; ARTICLE; CLUSTER ANALYSIS; COMPUTER GRAPHICS; CONSTANTS AND COEFFICIENTS; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA ANALYSIS; DNA MICROARRAY; GENE CONTROL; GENE EXPRESSION; GENE IDENTIFICATION; GENE LOCATION; GENE STRUCTURE; GENETIC CODE; HUMAN; HUMAN CELL; KNOCKOUT GENE; LETHAL GENE; MEDULLOBLASTOMA; MOLECULAR MODEL; NONHUMAN; PHENOTYPE; PRIORITY JOURNAL; PROTEIN FOLDING; PROTEIN FUNCTION; SACCHAROMYCES CEREVISIAE; THEORY;

SACCHAROMYCES;

EID: 5044245707     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bth234     Document Type: Article

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