Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

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

Volumn 102, Issue 43, 2005, Pages 15545-15550

  Subramanian, Aravind ^a   Tamayo, Pablo ^a   Mootha, Vamsi K ^a,b   Mukherjee, Sayan ^c   Ebert, Benjamin L ^a,d   Gillette, Michael A ^a,e   Paulovich, Amanda ^f   Pomeroy, Scott L ^b   Golub, Todd R ^a,d   Lander, Eric S ^a,b,g,h   Mesirov, Jill P ^a  

^a BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c DUKE UNIVERSITY   (United States)

^d DANA FARBER CANCER INSTITUTE   (United States)

^e MASSACHUSETTS GENERAL HOSPITAL   (United States)

^f Fred Hutchinson Cancer Research Center   (United States)

^g MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^h WHITEHEAD INSTITUTE FOR BIOMEDICAL RESEARCH   (United States)

Author keywords

Microarray

Indexed keywords

RNA;

ANALYTIC METHOD; ARTICLE; CANCER; CANCER SURVIVAL; CHROMOSOME; COMPUTER PROGRAM; CONTROLLED STUDY; DATA BASE; DNA MICROARRAY; FEMALE; GENE EXPRESSION PROFILING; GENE FUNCTION; GENE SET ENRICHMENT ANALYSIS; GENOME; HUMAN; HUMAN CELL; HUMAN TISSUE; LEUKEMIA; LUNG CANCER; MAJOR CLINICAL STUDY; MALE; MEDICAL RESEARCH; PRIORITY JOURNAL;

CELL LINE, TUMOR; FEMALE; GENE EXPRESSION PROFILING; GENES, P53; GENOME; HUMANS; LEUKEMIA, LYMPHOCYTIC, ACUTE; LEUKEMIA, MYELOCYTIC, ACUTE; LUNG NEOPLASMS; MALE; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;

EID: 27344435774     PISSN: 00278424     EISSN: None     Source Type: Journal    
DOI: 10.1073/pnas.0506580102     Document Type: Article

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