Ontology based molecular signatures for immune cell types via gene expression analysis

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Meehan, Terrence F ^a   Vasilevsky, Nicole A ^b   Mungall, Christopher J ^c   Dougall, David S ^d   Haendel, Melissa A ^b   Blake, Judith A ^e   Diehl, Alexander D ^f  

^a WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^b OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^c LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^d BAYLOR INSTITUTE FOR IMMUNOLOGY RESEARCH   (United States)

^e JACKSON LABORATORY   (United States)

^f UNIVERSITY AT BUFFALO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL FUNCTIONS; BIOLOGICAL INSIGHT; BIOLOGICAL SAMPLES; GENE EXPRESSION ANALYSIS; MOLECULAR SIGNATURES; ONTOLOGICAL APPROACH; PAIR-WISE COMPARISON; SOMATIC HYPERMUTATION;

CELLS; CYTOLOGY; ONTOLOGY;

GENE EXPRESSION;

BIOLOGICAL MARKER;

ARTICLE; CELLS; CLASSIFICATION; COMPUTER SIMULATION; CYTOLOGY; GENE EXPRESSION PROFILING; GENE ONTOLOGY; GENETIC MARKER; GENETICS; GENOMICS; HUMAN; METABOLISM; METHODOLOGY;

BIOLOGICAL MARKERS; CELLS; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; GENE ONTOLOGY; GENETIC MARKERS; GENOMICS; HUMANS;

EID: 84883183674     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-263     Document Type: Article

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