Robust assignment of cancer subtypes from expression data using a uni-variate gene expression average as classifier

BMC Cancer

Volumn 10, Issue , 2010, Pages

  Lauss, Martin ^a   Frigyesi, Attila ^a   Ryden, Tobias ^b   Höglund, Mattias ^a  

^a LUND UNIVERSITY HOSPITAL   (Sweden)

^b LUND UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER CLASSIFICATION; CLASSIFICATION ALGORITHM; CLASSIFIER; DISCRIMINANT ANALYSIS; GENE EXPRESSION; GENE IDENTIFICATION; MATHEMATICAL COMPUTING; MEDICAL INFORMATION SYSTEM; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE; TAXONOMIC RANK; UNIVARIATE ANALYSIS; ALGORITHM; AREA UNDER THE CURVE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGY; BLADDER TUMOR; GENE EXPRESSION REGULATION; GENETIC ASSOCIATION; GENETIC DATABASE; GENETICS; GENOMICS; HUMAN; METHODOLOGY; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; AREA UNDER CURVE; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENE EXPRESSION REGULATION; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; ROC CURVE; URINARY BLADDER NEOPLASMS;

EID: 77957314278     PISSN: None     EISSN: 14712407     Source Type: Journal    
DOI: 10.1186/1471-2407-10-532     Document Type: Article

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