Microarray gene cluster identification and annotation through cluster ensemble and EM-based informative textual summarization

IEEE Transactions on Information Technology in Biomedicine

Volumn 13, Issue 5, 2009, Pages 832-840

  Hu, Xiaohua ^a,b   Park, E K ^c   Zhang, Xiaodan ^b  

^a HENAN UNIVERSITY   (China)

^b Drexel University   (United States)

^c UNIVERSITY OF MISSOURI KANSAS CITY   (United States)

Author keywords

Cluster ensemble; Expectation maximization (EM); Microarray gene expression analysis; Text mining

Indexed keywords

BIOLOGICAL MECHANISMS; CLUSTER ALGORITHMS; CLUSTER ENSEMBLE; CLUSTER ENSEMBLES; CLUSTERING QUALITY; DATA DISTRIBUTION; DATA SETS; DOCUMENT SETS; EXPECTATION MAXIMIZATION; EXPECTATION-MAXIMIZATION (EM); EXTRACTIVE APPROACH; GENE CLUSTERS; GENE EXPRESSION ANALYSIS; GENE EXPRESSION DATA ANALYSIS; GENE EXPRESSION DATASETS; HIGH QUALITY; IDENTIFICATION AND ANNOTATION; MICROARRAY GENE EXPRESSION ANALYSIS; MICROARRAY GENES; MULTI-DOCUMENT SUMMARIZATION; QUERY EXPANSION; RESEARCH PROBLEMS; STAND -ALONE; TEXT CLUSTERING; TEXT MINING; TEXT SUMMARIZATION; UNDERLYING DISTRIBUTION; UNIFIED SYSTEM;

BIOACTIVITY; CLUSTER ANALYSIS; COMMUNICATION CHANNELS (INFORMATION THEORY); GENE EXPRESSION; INFORMATION SERVICES; MAXIMUM PRINCIPLE; OPTIMIZATION;

CLUSTERING ALGORITHMS;

ALGORITHM; ARTICLE; CLUSTER ANALYSIS; DNA MICROARRAY; FUNGAL GENE; GENETIC DATABASE; GENETICS; LINGUISTICS; METHODOLOGY; MULTIGENE FAMILY; STATISTICAL MODEL; YEAST;

ALGORITHMS; CLUSTER ANALYSIS; DATABASES, GENETIC; GENES, FUNGAL; MODELS, STATISTICAL; MULTIGENE FAMILY; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; VOCABULARY, CONTROLLED; YEASTS;

EID: 70349416588     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2009.2023984     Document Type: Article

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