Identification of candidate colon cancer biomarkers by applying a random forest approach on microarray data

Oncology Reports

Volumn 28, Issue 3, 2012, Pages 1036-1042

  Yan, Zhi ^a   Li, Jiangeng ^b   Xiong, Yimin ^a   Xu, Weitian ^a   Zheng, Guorong ^a  

^a WUHAN GENERAL HOSPITAL OF GUANGZHOU COMMAND   (China)

^b BEIJING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Biomarker; Colon cancer; Microarray; Random forests

Indexed keywords

BIOLOGICAL MARKER; INTERLEUKIN 8;

ADULT; ARTICLE; CANCER CHEMOTHERAPY; CANCER PATIENT; CANCER SURVIVAL; CLINICAL ARTICLE; COLON CANCER; FEMALE; GENE ACTIVITY; GENE EXPRESSION PROFILING; GENE FUNCTION; GENE IDENTIFICATION; GENE SEQUENCE; HUMAN; HUMAN TISSUE; IL8 GENE; MALE; MICROARRAY ANALYSIS; MYL9 GENE; NUCLEOTIDE SEQUENCE; ONCOGENE; PRIORITY JOURNAL; PROTEIN EXPRESSION; REAL TIME POLYMERASE CHAIN REACTION; SENSITIVITY AND SPECIFICITY; VIP GENE; WDR77 GENE;

ALGORITHMS; AREA UNDER CURVE; CLUSTER ANALYSIS; COLONIC NEOPLASMS; DATA INTERPRETATION, STATISTICAL; FEMALE; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; INTERLEUKIN-8; MALE; MIDDLE AGED; MYOSIN LIGHT CHAINS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REAL-TIME POLYMERASE CHAIN REACTION; ROC CURVE; TRANSCRIPTION FACTORS; TUMOR MARKERS, BIOLOGICAL; VASOACTIVE INTESTINAL PEPTIDE;

EID: 84865310917     PISSN: 1021335X     EISSN: 17912431     Source Type: Journal    
DOI: 10.3892/or.2012.1891     Document Type: Article

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