Combining multiple microarray studies and modeling interstudy variation

Bioinformatics

Volumn 19, Issue SUPPL. 1, 2003, Pages

  Choi, Jung Kyoon ^a,b   Yu, Ungsik ^b   Kim, Sangsoo ^b   Yoo, Ook Joon ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Korea Research Institute of Bioscience and Biotechnology (KRIBB)   (South Korea)

Author keywords

Bayesian meta analysis; Effect size; Meta analysis; Microarray

Indexed keywords

BAYES THEOREM; BIOINFORMATICS; CANCER GENETICS; COMPUTER MODEL; CONFERENCE PAPER; DNA MICROARRAY; GENE EXPRESSION PROFILING; INFORMATION PROCESSING; INTEGRATION; PRIORITY JOURNAL; ALGORITHM; ARTICLE; BIOLOGICAL MODEL; EVALUATION; GENETIC SCREENING; GENETIC VARIABILITY; GENETICS; HUMAN; LIVER TUMOR; MALE; METHODOLOGY; PROSTATE TUMOR; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; SYSTEM ANALYSIS; VALIDATION STUDY;

ALGORITHMS; BAYES THEOREM; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; GENETIC SCREENING; HUMANS; LIVER NEOPLASMS; MALE; MODELS, GENETIC; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SYSTEMS INTEGRATION; VARIATION (GENETICS);

EID: 4944232237     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btg1010     Document Type: Conference Paper

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