A robust meta-classification strategy for cancer diagnosis from gene expression data

Proceedings - 2005 IEEE Computational Systems Bioinformatics Conference, CSB 2005

Volumn 2005, Issue , 2005, Pages 322-325

  Alexe, Gabriela ^a   Ramaswamy, Ramakrishna ^b   Bhanot, Gyan ^a,b   Lepre, Jorge ^a   Stolovitzky, Gustavo ^a   Venkataraghavan, Babu ^b   Levine, Arnold J ^b,c  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b INSTITUTE FOR ADVANCED STUDY   (United States)

^c RUTGERS CANCER INSTITUTE OF NEW JERSEY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; GENES; LEARNING SYSTEMS; MULTIVARIABLE CONTROL SYSTEMS; ONCOLOGY; ROBUSTNESS (CONTROL SYSTEMS); SET THEORY;

DATA PERTURBATIONS; GENE EXPRESSION DATA; MACHINE LEARNING TOOLS; META-CLASSIFICATION TECHNIQUE;

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; META ANALYSIS; METABOLISM; METHODOLOGY; NEOPLASM; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

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

EID: 33745490961     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSB.2005.7     Document Type: Conference Paper

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