A simple but highly effective approach to evaluate the prognostic performance of gene expression signatures

PLoS ONE

Volumn 6, Issue 12, 2011, Pages

  Starmans, Maud H W ^a   Fung, Glenn ^b   Steck, Harald ^b   Wouters, Bradly G ^a,c   Lambin, Philippe ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

^b Siemens Medical Solutions ^*  (United States)

^c PRINCESS MARGARET HOSPITAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BREAST CANCER; FALSE POSITIVE RESULT; GENE EXPRESSION PROFILING; GENETIC DATABASE; KIDNEY CANCER; LUNG CANCER; MICROARRAY ANALYSIS; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; REFERENCE VALUE; AREA UNDER THE CURVE; BIOLOGY; BREAST TUMOR; DNA MICROARRAY; GENE EXPRESSION REGULATION; GENETICS; HUMAN; KIDNEY TUMOR; LUNG TUMOR; METABOLISM; METHODOLOGY; NEOPLASM; REPRODUCIBILITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

AREA UNDER CURVE; BREAST NEOPLASMS; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; KIDNEY NEOPLASMS; LUNG NEOPLASMS; MODELS, STATISTICAL; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROGNOSIS; REPRODUCIBILITY OF RESULTS; ROC CURVE;

EID: 82855164001     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0028320     Document Type: Article

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