One-step extrapolation of the prediction performance of a gene signature derived from a small study

BMJ Open

Volumn 5, Issue 4, 2015, Pages

  Wang, Ling Yi ^a,b   Lee, Wen Chung ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b BUDDHIST TZU CHI GENERAL HOSPITAL   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

AREA UNDER THE CURVE; ARTICLE; BOOTSTRAPPING; BREAST CANCER; CANCER TISSUE; COLON; COLON CANCER; CONTROLLED STUDY; GENE; GENE EXPRESSION; GENE SIGNATURE; GENETIC DATABASE; GENETIC PROCEDURES; HUMAN; HUMAN TISSUE; LEARNING CURVE; MACHINE LEARNING; MAJOR CLINICAL STUDY; MEASUREMENT ERROR; MICROARRAY ANALYSIS; MONTE CARLO METHOD; PREDICTION; RANDOM FOREST; SAMPLE SIZE; SMALL ROOT MEAN SQUARED ERROR; SUPPORT VECTOR MACHINE; VARIANCE; BREAST TUMOR; COLON TUMOR; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; REPRODUCIBILITY; STATISTICAL MODEL; STATISTICS;

AREA UNDER CURVE; BREAST NEOPLASMS; COLONIC NEOPLASMS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; LEARNING CURVE; LINEAR MODELS; MONTE CARLO METHOD; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE; STATISTICS AS TOPIC;

EID: 84928264580     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/bmjopen-2014-007170     Document Type: Article

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