Gene selection and classification for cancer microarray data based on machine learning and similarity measures

BMC Genomics

Volumn 12, Issue SUPPL. 5, 2011, Pages

  Liu, Qingzhong ^a   Sung, Andrew H ^b   Chen, Zhongxue ^c   Liu, Jianzhong ^d   Chen, Lei ^a   Qiao, Mengyu ^e   Wang, Zhaohui ^f   Huang, Xudong ^g   Deng, Youping ^f,h  

^a SAM HOUSTON STATE UNIVERSITY   (United States)

^b NEW MEXICO INSTITUTE OF MINING AND TECHNOLOGY   (United States)

^c UNIVERSITY OF TEXAS   (United States)

^d Chem21 Group Inc   (United States)

^e South Dakota School of Mines and Technology   (United States)

^f WUHAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^g BRIGHAM AND WOMEN S HOSPITAL   (United States)

^h RUSH MEDICAL COLLEGE   (United States)

Author keywords

Classification; Gene selection; Microarray; Similarity; Supervised learning

Indexed keywords

ACCURACY; ARTICLE; BAYESIAN LEARNING; CANCER GENETICS; CLASSIFICATION ALGORITHM; CLASSIFIER; CONTROLLED STUDY; GENE CLASSIFICATION; GENE EXPRESSION; GENE SELECTION; GENOMICS; INTERMETHOD COMPARISON; LAGGING PREDICTION PEEPHOLE OPTIMIZATION ALGORITHM; LEAVE ONE OUT CALCULATION SEQUENTIAL FORWARD SELECTION; MACHINE LEARNING; MICROARRAY ANALYSIS; NEAREST MEAN SCALED CLASSIFER; PREDICTION; RANDOM FOREST; RECURSIVE FEATURE ADDITION; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; SUPPORT VECTOR MACHINE RECURSIVE FEATURE ELIMINATION; ARTIFICIAL INTELLIGENCE; DNA MICROARRAY; GENETICS; HUMAN; METABOLISM; NEOPLASM;

ARTIFICIAL INTELLIGENCE; HUMANS; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SUPPORT VECTOR MACHINES;

EID: 84255194463     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-12-S5-S1     Document Type: Article

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