Analyzing time-dependent microarray data using independent component analysis derived expression modes from human macrophages infected with F. tularensis holartica

Journal of Biomedical Informatics

Volumn 42, Issue 4, 2009, Pages 605-611

  Lutter, D ^a,b,d   Langmann, Th ^a   Ugocsai, P ^a   Moehle, C ^a   Seibold, E ^c   Splettstoesser, W D ^c   Gruber, P ^b   Lang, E W ^b   Schmitz, G ^a  

^a UNIVERSITY HOSPITAL REGENSBURG   (Germany)

^b UNIVERSITY OF REGENSBURG   (Germany)

^c BUNDESWEHR INSTITUTE OF MICROBIOLOGY   (Germany)

^d Helmholtz Zentrum Muenchen   (Germany)

Author keywords

Clustering; Francisella tularensis; Gene chip; Independent component analysis; Infection; Microarray; Time course

Indexed keywords

CLUSTERING; FRANCISELLA TULARENSIS; GENE CHIP; INFECTION; TIME COURSE;

BIOACTIVITY; CLUSTER ANALYSIS; DATA MINING; GENE EXPRESSION; HEMODYNAMICS; INFORMATION MANAGEMENT; LAWS AND LEGISLATION; MACHINE TOOLS; MACROPHAGES; MINING; ONTOLOGY;

INDEPENDENT COMPONENT ANALYSIS;

TUMOR NECROSIS FACTOR ALPHA;

ARTICLE; CONTROLLED STUDY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; HUMAN; HUMAN CELL; IMMUNE RESPONSE; IN VITRO STUDY; MACROPHAGE; MICROARRAY ANALYSIS; MONOCYTE; PRIORITY JOURNAL; PROTEIN EXPRESSION; TULAREMIA;

ALGORITHMS; CELLS, CULTURED; CLUSTER ANALYSIS; FRANCISELLA TULARENSIS; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HUMANS; MACROPHAGES; MODELS, GENETIC; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; TULAREMIA;

EID: 67649354964     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2009.01.002     Document Type: Article

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