Gene set bagging for estimating the probability a statistically significant result will replicate

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Jaffe, Andrew E ^a,b   Storey, John D ^c   Ji, Hongkai ^a   Leek, Jeffrey T ^a  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b LIEBER INSTITUTE FOR BRAIN DEVELOPMENT   (United States)

^c PRINCETON UNIVERSITY   (United States)

Author keywords

DNA methylation; Gene expression; Gene ontology; Gene set enrichment analysis

Indexed keywords

DNA METHYLATION; GENE ONTOLOGY; GENE SET ENRICHMENT ANALYSIS; HIGH-THROUGHPUT; HIGH-THROUGHPUT DATA; NEW APPROACHES; SIGNIFICANCE ANALYSIS; TRANSCRIPTION FACTOR BINDING SITES;

GENE EXPRESSION;

PROBABILITY;

TRANSCRIPTION FACTOR;

ALGORITHM; ARTICLE; BINDING SITE; BRAIN LEVEL; COMPUTER SIMULATION; DNA METHYLATION; DNA MICROARRAY; DNA REPLICATION; FACTUAL DATABASE; GENE EXPRESSION PROFILING; GENETICS; GENOMICS; HUMAN; HUMAN GENOME; METABOLISM; METHODOLOGY; PREDICTIVE VALUE; PROBABILITY; SAMPLE SIZE; SMOKING;

ALGORITHMS; BINDING SITES; BRAIN CHEMISTRY; COMPUTER SIMULATION; DATABASES, FACTUAL; DNA METHYLATION; DNA REPLICATION; GENE EXPRESSION PROFILING; GENOME, HUMAN; GENOMICS; HUMANS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PREDICTIVE VALUE OF TESTS; PROBABILITY; SAMPLE SIZE; SMOKING; TRANSCRIPTION FACTORS;

EID: 84889958901     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-360     Document Type: Article

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