Merging microarray data from separate breast cancer studies provides a robust prognostic test

BMC Bioinformatics

Volumn 9, Issue , 2008, Pages

  Xu, Lei ^a   Tan, Aik Choon ^a   Winslow, Raimond L ^a   Geman, Donald ^a  

^a Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BREAST CANCER TREATMENT; DATA NORMALIZATION; GENE EXPRESSION SIGNATURES; GENE-GENE INTERACTION; LIKELIHOOD RATIO TESTS; MICROARRAY GENE EXPRESSION DATA; STATISTICAL MODELING; TOXIC SIDE EFFECTS;

DISEASES; HOSPITAL DATA PROCESSING; PATHOLOGY; PATIENT TREATMENT; RISK ASSESSMENT; TESTING;

GENE EXPRESSION;

ARTICLE; BREAST CANCER; CONTROLLED STUDY; DATA COLLECTION METHOD; DISTANT METASTASIS; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE INTERACTION; HUMAN; MICROARRAY ANALYSIS; PREDICTION; PROGNOSIS; RISK ASSESSMENT; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; DATA BASE; EVALUATION; FACTUAL DATABASE; METABOLISM; METHODOLOGY; REPRODUCIBILITY;

TUMOR MARKER; TUMOR PROTEIN;

BREAST NEOPLASMS; DATABASE MANAGEMENT SYSTEMS; DATABASES, FACTUAL; DIAGNOSIS, COMPUTER-ASSISTED; GENE EXPRESSION PROFILING; HUMANS; NEOPLASM PROTEINS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROGNOSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TUMOR MARKERS, BIOLOGICAL;

EID: 41749099668     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-125     Document Type: Article

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