Discovering statistically significant biclusters in gene expression data

Bioinformatics

Volumn 18, Issue SUPPL. 1, 2002, Pages

  Tanay, Amos ^a   Sharan, Roded ^a   Shamir, Ron ^a  

^a TEL AVIV UNIVERSITY   (Israel)

Author keywords

Biclustering; Clustering; Functional annotation; Gene expression analysis

Indexed keywords

ALGORITHM; CONFERENCE PAPER; GENE CLUSTER; GENE EXPRESSION; GENE FUNCTION; HUMAN; NONHUMAN; PRIORITY JOURNAL; STATISTICAL MODEL; TISSUE TYPES; VALIDATION PROCESS; YEAST; ARTICLE; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPARATIVE STUDY; DNA MICROARRAY; DNA SEQUENCE; EVALUATION; GENE EXPRESSION PROFILING; GENETICS; LYMPHOMA; METHODOLOGY; SEQUENCE ALIGNMENT; SEQUENCE HOMOLOGY; VALIDATION STUDY;

ALGORITHMS; CLUSTER ANALYSIS; GENE EXPRESSION PROFILING; HUMANS; LYMPHOMA; MODELS, GENETIC; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, DNA; SEQUENCE HOMOLOGY, NUCLEIC ACID; YEASTS;

EID: 11244306358     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/18.suppl_1.S136     Document Type: Conference Paper

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