Clustering biological annotations and gene expression data to identify putatively co-regulated biological processes

Journal of Bioinformatics and Computational Biology

Volumn 4, Issue 4, 2006, Pages 833-852

  Henegar, Corneliu ^a,b,c   Cancello, Raffaella ^a,b,c   Rome, Sophie ^a,d,e   Vidal, Hubert ^a,d,e   Clément, Karine ^a,b,c   Zucker, Jean Daniel ^a,f  

^a INSERM   (France)

^b CENTRE DE RECHERCHE DES CORDELIERS   (France)

^c HÔTEL DIEU   (France)

^d Human Nutrition Research Center   (France)

^e UNIVERSITÉ LYON 1   (France)

^f UNIVERSITÉ PARIS 13   (France)

Author keywords

Computational biology; Functional profiling of gene expression; Gene expression pattern analysis

Indexed keywords

CYTOKINE; INSULIN;

ADIPOCYTE; ARTICLE; BLOOD VESSEL; CELL FRACTIONATION; CELL SEPARATION; COMPUTER LANGUAGE; CONTROLLED STUDY; CYTOKINE PRODUCTION; DATA ANALYSIS; DISCRIMINANT ANALYSIS; GENE CLUSTER; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENE FUNCTION; GENE IDENTIFICATION; HUMAN; HUMAN CELL; IMMUNITY; INFLAMMATION; METABOLIC REGULATION; MUSCLE CONTRACTION; PREVALENCE; PROCESS DESIGN; PROCESS MODEL; PROTEIN METABOLISM; SKELETAL MUSCLE; STROMA; WHITE ADIPOSE TISSUE;

ALGORITHMS; BIOLOGY; CLUSTER ANALYSIS; COMPUTER SIMULATION; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; MODELS, BIOLOGICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; SIGNAL TRANSDUCTION;

EID: 33750459679     PISSN: 02197200     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219720006002181     Document Type: Article

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