Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients

Bioinformatics

Volumn 26, Issue 17, 2010, Pages 2136-2144

  Johannes, Marc ^a   Brase, Jan C ^a   Fröhlich, Holger ^b   Gade, Stephan ^a   Gehrmann, Mathias ^c   Fälth, Maria ^a   Sültmann, Holger ^a   Beißbarth, Tim ^d  

^a GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^b Rheinische Friedrich Wilhelms Universität   (Germany)

^c SIEMENS AG   (Germany)

^d UNIVERSITY MEDICAL CENTER GÖTTINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR 2; ERBB2 PROTEIN, HUMAN;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BREAST TUMOR; COMPARATIVE STUDY; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; HUMAN; METABOLISM; METHODOLOGY; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; RISK FACTOR;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; PROGNOSIS; RECEPTOR, ERBB-2; RISK FACTORS; ROC CURVE;

EID: 77955886691     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btq345     Document Type: Article

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