Discovering statistically significant pathways in expression profiling studies

Proceedings of the National Academy of Sciences of the United States of America

Volumn 102, Issue 38, 2005, Pages 13544-13549

  Tian, Lu ^a   Greenberg, Steven A ^b,c   Kong, Sek Won ^d,e   Altschuler, Josiah ^d   Kohane, Isaac S ^c,f   Park, Peter J ^c,f  

^a NORTHWESTERN UNIVERSITY   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c BOSTON CHILDREN S HOSPITAL   (United States)

^d HARVARD UNIVERSITY   (United States)

^e BETH ISRAEL DEACONESS MEDICAL CENTER   (United States)

^f LABORATORY FOR MOLECULAR MEDICINE   (United States)

Author keywords

Correlated data; Gene ontology; Inflammatory myopathies; Microarrays; Normalization

Indexed keywords

ALPHA INTERFERON; BETA INTERFERON;

ACCURACY; ALZHEIMER DISEASE; ARTICLE; AUTOIMMUNITY; CYTOTOXIC T LYMPHOCYTE; DENDRITIC CELL; DERMATOMYOSITIS; DIABETES MELLITUS; GENE EXPRESSION PROFILING; GENOME ANALYSIS; HUMAN; HUMAN TISSUE; IMMUNE RESPONSE; IMMUNOHISTOCHEMISTRY; MYOSITIS; PHENOTYPE; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

ALGORITHMS; ALZHEIMER DISEASE; ANIMALS; AUTOIMMUNITY; DATABASES, GENETIC; DERMATOMYOSITIS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; HUMANS; INTERFERON-ALPHA; INTERFERON-BETA; MODELS, GENETIC; MYOSITIS; MYOSITIS, INCLUSION BODY; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PREDICTIVE VALUE OF TESTS; T-LYMPHOCYTES; TRANSCRIPTION FACTORS;

EID: 26444608611     PISSN: 00278424     EISSN: None     Source Type: Journal    
DOI: 10.1073/pnas.0506577102     Document Type: Article

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