Identifying tightly regulated and variably expressed networks by Differential Rank Conservation (DIRAC)

PLoS Computational Biology

Volumn 6, Issue 5, 2010, Pages 1-17

  Eddy, James A ^a,b   Hood, Leroy ^c   Price, Nathan D ^a,d   Geman, Donald ^e,f  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b University of Illinois at Urbana Champaign   (United States)

^c INSTITUTE FOR SYSTEMS BIOLOGY   (United States)

^d UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^e NONE   (United States)

^f Whiting School of Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; GENE EXPRESSION;

BIOLOGICAL NETWORKS; BIOLOGICAL PATHWAYS; COMBINATORIAL INTERACTIONS; DISEASE PROCESS; GENE INTERACTIONS; MOLECULAR DATA; NETWORK BEHAVIORS; NETWORK PROFILES; OR-NETWORKS; QUANTITATIVE MEASURES;

CLASSIFICATION (OF INFORMATION);

ACCURACY; ARTICLE; CONTROLLED STUDY; DIFFERENTIAL RANK CONSERVATION; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETIC ANALYSIS; MATHEMATICAL MODEL; NEUROLOGIC DISEASE; ORDINATION ANALYSIS; PHENOTYPE; PROCESS DEVELOPMENT; PROSTATE CANCER; PROTEIN ANALYSIS; QUANTITATIVE ANALYSIS; SEQUENCE ANALYSIS; TREND STUDY; VALIDATION PROCESS; BIOLOGY; CLUSTER ANALYSIS; FACTUAL DATABASE; GENETICS; HUMAN; METHODOLOGY; NEOPLASM; REPRODUCIBILITY; SIGNAL TRANSDUCTION;

CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HUMANS; NEOPLASMS; PHENOTYPE; REPRODUCIBILITY OF RESULTS; SIGNAL TRANSDUCTION;

EID: 77955484846     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000792     Document Type: Article

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