Cross species expression analysis of innate immune response

Journal of Computational Biology

Volumn 17, Issue 3, 2010, Pages 253-268

  Lu, Yong ^a   Rosenfeld, Roni ^a   Nau, Gerard J ^b   Bar Joseph, Ziv ^a  

^a Carnegie Mellon University   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Computational molecular biology; Expression analysis; Gaussian random field; Gene expression; Gene networks; Immune response; Machine learning; Sequence analysis

Indexed keywords

CD86 ANTIGEN; RANTES;

ALGORITHM; ANIMAL; BIOLOGICAL MODEL; CONFERENCE PAPER; DENDRITIC CELL; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETIC DATABASE; GENETICS; HUMAN; INNATE IMMUNITY; MACROPHAGE; METABOLISM; MICROBIOLOGY; MOUSE; NORMAL DISTRIBUTION; PROBABILITY; SPECIES DIFFERENCE;

ALGORITHMS; ANIMALS; ANTIGENS, CD86; CHEMOKINE CCL5; DATABASES, GENETIC; DENDRITIC CELLS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORKS; HUMANS; IMMUNITY, INNATE; MACROPHAGES; MARKOV CHAINS; MICE; MODELS, IMMUNOLOGICAL; NORMAL DISTRIBUTION; SPECIES SPECIFICITY;

BACTERIA (MICROORGANISMS);

EID: 77950850148     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2009.0147     Document Type: Conference Paper

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