Multi-class tumor classification by discriminant partial least squares using microarray gene expression data and assessment of classification models

Computational Biology and Chemistry

Volumn 28, Issue 3, 2004, Pages 235-243

  Tan, Yongxi ^a   Shi, Leming ^b   Tong, Weida ^b   Hwang, G T Gene ^c   Wang, Charles ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b NATIONAL CENTER FOR TOXICOLOGICAL RESEARCH   (United States)

^c Department of Obstetrics Gynecology   (United States)

Author keywords

Classification; DPLS; Leave half out cross validation; Microarray; Reliability

Indexed keywords

DNA; LEAST SQUARES APPROXIMATIONS; MORPHOLOGY; PRINCIPAL COMPONENT ANALYSIS; SAMPLING; TUMORS;

CLASSIFICATION; DPLS; LEAVE-HALF-OUT CROSS-VALIDATION; MICROARRAY;

GENES;

ALGORITHM; ARTICLE; BREAST TUMOR; CLASSIFICATION; COMPUTER SIMULATION; DNA MICROARRAY; EWING SARCOMA; FAMILIAL CANCER; FEMALE; GENE EXPRESSION REGULATION; GENETICS; HUMAN; LEUKEMIA; METHODOLOGY; NEOPLASM; NEUROBLASTOMA; NONHODGKIN LYMPHOMA; REGRESSION ANALYSIS; REPRODUCIBILITY; RHABDOMYOSARCOMA; STATISTICAL MODEL;

ALGORITHMS; BREAST NEOPLASMS; COMPUTER SIMULATION; FEMALE; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; LEAST-SQUARES ANALYSIS; LEUKEMIA; LYMPHOMA, NON-HODGKIN; MODELS, STATISTICAL; NEOPLASMS; NEOPLASTIC SYNDROMES, HEREDITARY; NEUROBLASTOMA; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS; RHABDOMYOSARCOMA; SARCOMA, EWING'S;

EID: 3142537293     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2004.05.002     Document Type: Article

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