Pathway-GPS and SIGORA: Identifying relevant pathways based on the over-representation of their gene-pair signatures

PeerJ

Volumn 2013, Issue 1, 2013, Pages

  Foroushani, Amir B K ^a,b   Brinkman, Fiona S L ^b   Lynn, David J ^a  

^a TEAGASC   (Ireland)

^b SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Functional analysis; High throughput data; Over representation analysis; Pathway analysis; Shared components; Systems biology

Indexed keywords

ALGORITHM; ARTICLE; BIBLIOGRAPHIC DATABASE; BIOINFORMATICS; BLOOD CLOTTING; BRAIN MALARIA; CHROMOSOME PAIRING; COMPUTER SIMULATION; DENGUE; EVALUATION STUDY; FUNCTIONAL ASSESSMENT; GENE PAIR SIGNATURE; HUMAN; INFECTION; INFORMATION PROCESSING; LEUKOCYTE MIGRATION; MOLECULAR GENETICS; SIGNAL TRANSDUCTION; SIGNATURE OVER REPRESENTATION ANALYSIS; STATISTICAL SIGNIFICANCE; SYSTEMS BIOLOGY; TUBERCULOSIS;

EID: 84891540477     PISSN: None     EISSN: 21678359     Source Type: Journal    
DOI: 10.7717/peerj.229     Document Type: Article

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