Challenges in projecting clustering results across gene expression-profiling datasets

Journal of the National Cancer Institute

Volumn 99, Issue 22, 2007, Pages 1715-1723

  Lusa, Lara ^a,b   McShane, Lisa M ^c   Reid, James F ^a,b   De Cecco, Loris ^a,b   Ambrogi, Federico ^d   Biganzoli, Elia ^a   Gariboldi, Manuela ^a,b   Pierotti, Marco A ^a,b  

^a NATIONAL CANCER INSTITUTE   (Italy)

^b FIRC INSTITUTE OF MOLECULAR ONCOLOGY   (Italy)

^c NATIONAL CANCER INSTITUTE   (United States)

^d UNIVERSITY OF MILAN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ESTROGEN RECEPTOR; TUMOR MARKER;

ARTICLE; BREAST CANCER; CANCER CLASSIFICATION; CONTROLLED STUDY; GENE EXPRESSION; GENE EXPRESSION PROFILING; HUMAN; MAJOR CLINICAL STUDY; MICROARRAY ANALYSIS; PREVALENCE; PRIORITY JOURNAL; BREAST TUMOR; CHEMISTRY; CLUSTER ANALYSIS; DISEASE FREE SURVIVAL; DNA MICROARRAY; FEMALE; GENE EXPRESSION REGULATION; GENETICS; KAPLAN MEIER METHOD; METHODOLOGY; PREDICTION AND FORECASTING; PROTO ONCOGENE;

BREAST NEOPLASMS; CLUSTER ANALYSIS; DISEASE-FREE SURVIVAL; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; GENES, ERBB-2; HUMANS; KAPLAN-MEIERS ESTIMATE; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PREDICTIVE VALUE OF TESTS; RECEPTORS, ESTROGEN; RESEARCH DESIGN; TUMOR MARKERS, BIOLOGICAL;

EID: 38449122135     PISSN: 00278874     EISSN: 14602105     Source Type: Journal    
DOI: 10.1093/jnci/djm216     Document Type: Article

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