Statistical issues and methods for meta-analysis of microarray data: A case study in prostate cancer

Functional and Integrative Genomics

Volumn 3, Issue 4, 2003, Pages 180-188

  Ghosh, Debashis ^a   Barette, Terrence R ^b   Rhodes, Dan ^b   Chinnaiyan, Arul M ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

Bioinformatics; Differential expression; Gene expression; LASSO; Multiple comparisons

Indexed keywords

OLIGONUCLEOTIDE;

ARTICLE; BIOINFORMATICS; BIOMEDICAL TECHNOLOGY ASSESSMENT; CARCINOGENESIS; COMPARATIVE STUDY; COMPUTER PROGRAM; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; DISEASE SEVERITY; DNA MICROARRAY; DNA PROBE; GENE EXPRESSION REGULATION; GENE IDENTIFICATION; GENOME ANALYSIS; HUMAN; INFORMATION PROCESSING; MALE; METASTASIS; METHODOLOGY; NUCLEOTIDE SEQUENCE; PRIORITY JOURNAL; PROSTATE CANCER; PROSTATE HYPERTROPHY; STATISTICAL ANALYSIS; ALGORITHM; BIOLOGY; CLINICAL TRIAL; EXPRESSED SEQUENCE TAG; FACTUAL DATABASE; GENE EXPRESSION PROFILING; GENETICS; LABORATORY DIAGNOSIS; META ANALYSIS; PATHOLOGY; PROSTATE TUMOR; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; EXPRESSED SEQUENCE TAGS; FALSE POSITIVE REACTIONS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MALE; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROSTATIC NEOPLASMS; STATISTICS;

EID: 1542309545     PISSN: 1438793X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10142-003-0087-5     Document Type: Article

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