Investigation of self-organizing oscillator networks for use in clustering microarray data

IEEE Transactions on Nanobioscience

Volumn 7, Issue 1, 2008, Pages 65-79

  Salem, S A ^a   Jack, L B ^a   Nandi, A K ^a  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Cluster validation; Data clustering; Gene expression; Microarray data; Unsupervised classification

Indexed keywords

BIOLOGICAL DATUM; CELL CYCLES; CLUSTER VALIDATION; CLUSTERING METHODS; CONTROL PARAMETERS; DATA CLUSTERING; DATA-SETS; DENSITY-BASED ALGORITHMS; DISTANCE-BASED; LIVER CANCERS; MICROARRAY DATA; MICROARRAY EXPERIMENTS; MODULATION SCHEMES; NOISE CONDITIONS; NONSEPARABLE; NUMBER OF CLUSTERS; SELF-ORGANIZING OSCILLATOR NETWORKS; UNSUPERVISED CLASSIFICATION;

BIOACTIVITY; CLUSTERING ALGORITHMS; CONTROL SYSTEM ANALYSIS; CONTROL THEORY; GENE EXPRESSION; MODULATION;

CLUSTER ANALYSIS;

TUMOR MARKER; TUMOR PROTEIN;

ALGORITHM; ARTICLE; CLUSTER ANALYSIS; DNA MICROARRAY; EVALUATION; GENE EXPRESSION PROFILING; HUMAN; METABOLISM; METHODOLOGY; NEOPLASM; OSCILLOMETRY;

ALGORITHMS; CLUSTER ANALYSIS; GENE EXPRESSION PROFILING; HUMANS; NEOPLASM PROTEINS; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; OSCILLOMETRY; TUMOR MARKERS, BIOLOGICAL;

EID: 43749090252     PISSN: 15361241     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNB.2008.2000151     Document Type: Article

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