Induction of comprehensible models for gene expression datasets by subgroup discovery methodology

Journal of Biomedical Informatics

Volumn 37, Issue 4, 2004, Pages 269-284

  Gamberger, Dragan ^a   Lavrač, Nada ^b,c   Železný, Filip ^d,e   Tolar, Jakub ^f  

^a RUDER BO KOVI INSTITUTE   (Croatia)

^b JO EF STEFAN INSTITUTE   (Slovenia)

^c UNIVERSITY OF NOVA GORICA   (Slovenia)

^d CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

^e UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^f UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

Author keywords

Comprehensible classification; Disease markers; Gene expression measurements; Machine learning; Subgroup discovery

Indexed keywords

ACUTE GRANULOCYTIC LEUKEMIA; ACUTE LYMPHOBLASTIC LEUKEMIA; ALGORITHM; ARTICLE; DATA BASE; DISEASE CLASSIFICATION; DISEASE MARKER; DNA MICROARRAY; GENE EXPRESSION; GENE INDUCTION; HUMAN; INFORMATION PROCESSING; LEARNING; LEUKEMIA; MACHINE; MODEL; PREDICTION; PRIORITY JOURNAL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; GENE EXPRESSION PROFILING; GENETIC MARKERS; GENETIC SCREENING; HUMANS; MODELS, GENETIC; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS, DNA; TUMOR MARKERS, BIOLOGICAL; VARIATION (GENETICS);

EID: 4744364732     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2004.07.007     Document Type: Article

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