Robust and accurate cancer classification with gene expression profiling

Proceedings - 2005 IEEE Computational Systems Bioinformatics Conference, CSB 2005

Volumn 2005, Issue , 2005, Pages 310-321

  Li, Haifeng ^a   Zhang, Keshu ^b   Jiang, Tao ^a  

^a University of California Riverside   (United States)

^b MOTOROLA INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANCER CLASSIFICATION; GENE EXPRESSION PROFILING; LINEAR DISCRIMINANT ANALYSIS (LDA); SUPPORT VECTOR MACHINES;

ALGORITHMS; BIODIVERSITY; COMPUTATIONAL METHODS; GENES; ONCOLOGY; OPTIMIZATION; PROBLEM SOLVING; TUMORS;

GENETIC ENGINEERING;

TUMOR MARKER; TUMOR PROTEIN;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; DISCRIMINANT ANALYSIS; DNA MICROARRAY; EVALUATION; GENE EXPRESSION PROFILING; HUMAN; METABOLISM; METHODOLOGY; NEOPLASM; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; DISCRIMINANT ANALYSIS; GENE EXPRESSION PROFILING; HUMANS; NEOPLASM PROTEINS; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TUMOR MARKERS, BIOLOGICAL;

EID: 33745495816     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSB.2005.49     Document Type: Conference Paper

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