BARTMAP: A viable structure for biclustering

Neural Networks

Volumn 24, Issue 7, 2011, Pages 709-716

  Xu, Rui ^a   Wunsch II, Donald C ^b  

^a GE GLOBAL RESEARCH   (United States)

^b University of Missouri Rolla   (United States)

Author keywords

Adaptive resonance theory (ART); ARTMAP; Biclustering; Bioinformatics; Clustering; Data mining; Fuzzy; Gene expression; Heteroassociative; Knowledge discovery; Microarray; Subspace clustering

Indexed keywords

ADAPTIVE RESONANCE THEORY; ARTMAP; BICLUSTERING; CLUSTERING; FUZZY; HETEROASSOCIATIVE; SUBSPACE CLUSTERING;

BIOINFORMATICS; CLUSTER ANALYSIS; COMPUTATIONAL COMPLEXITY; DISEASES; DRUG THERAPY; FEATURE EXTRACTION; GENE EXPRESSION; GENE THERAPY; MICROARRAYS; RNA;

CLUSTERING ALGORITHMS;

MESSENGER RNA;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BICLUSTERING ARTMAP; CLASSIFICATION ALGORITHM; CLASSIFIER; CLUSTER ANALYSIS; EXPERIMENTAL STUDY; MALIGNANT NEOPLASTIC DISEASE; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; STRUCTURE ANALYSIS;

CLUSTER ANALYSIS; DATABASES, GENETIC; GENE EXPRESSION; GENE EXPRESSION PROFILING; HUMANS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED;

EID: 79960892157     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2011.03.020     Document Type: Article

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