Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data

PLoS ONE

Volumn 7, Issue 7, 2012, Pages

  Glaab, Enrico ^a,b   Bacardit, Jaume ^a   Garibaldi, Jonathan M ^a   Krasnogor, Natalio ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b UNIVERSITY OF LUXEMBOURG   (Luxembourg)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; CANCER CLASSIFICATION; DATA PROCESSING; DNA MICROARRAY; GENE EXPRESSION; GENE IDENTIFICATION; INTERMETHOD COMPARISON; MACHINE LEARNING; MODEL; QUALITY CONTROL; RULE BASED MACHINE LEARNING; SUPPORT VECTOR MACHINE; TUMOR GENE; VALIDATION PROCESS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; DATABASES, GENETIC; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; LYMPHOMA; MALE; NEOPLASM PROTEINS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROSTATIC NEOPLASMS;

EID: 84863856522     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0039932     Document Type: Article

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