Integrative systems biology for data-driven knowledge discovery

Seminars in Nephrology

Volumn 30, Issue 5, 2010, Pages 443-454

  Greene, Casey S ^a   Troyanskaya, Olga G ^a,b  

^a PRINCETON UNIVERSITY   (United States)

^b Princeton University   (United States)

Author keywords

Bayesian integration; Bioinformatics; Functional genomics

Indexed keywords

BRCA1 PROTEIN; MYC PROTEIN; PROTEIN P53; RAD51 PROTEIN; TRANSCRIPTION FACTOR E2F1; TRANSCRIPTION FACTOR JUNB;

ARTICLE; BAYES THEOREM; BIOINFORMATICS; CELL CYCLE PROGRESSION; CELL LINEAGE; DATA BASE; DNA DAMAGE; FUNCTIONAL GENOMICS; FUNCTIONAL PROTEOMICS; GENE FUNCTION; HIGH THROUGHPUT SCREENING; HUMAN; HUMAN GENOME; HYPOTHESIS; KNOWLEDGE DISCOVERY; MICROARRAY ANALYSIS; NONHUMAN; OXIDATIVE STRESS; PREDICTION; PRIORITY JOURNAL; PROBABILITY; PROTEIN PROTEIN INTERACTION; RNA SEQUENCE; SYSTEMS BIOLOGY;

ANIMALS; BAYES THEOREM; DATABASES, FACTUAL; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; KNOWLEDGE; SYSTEMS BIOLOGY;

EID: 78049435359     PISSN: 02709295     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.semnephrol.2010.07.002     Document Type: Article

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