research data . Dataset . 2018

Additional file 1: of Using OWL reasoning to support the generation of novel gene sets for enrichment analysis

David Osumi-Sutherland; Enrico Ponta; Melanie Courtot; Helen Parkinson; Laura Badi;
  • Published: 15 Feb 2018
  • Publisher: figshare Academic Research System
Abstract
A complete over-representation analysis for RCV gene sets against GTEx tissue type transcriptomes. The analysis is displayed as a heat map with RCV on the Y-axis, GTEx on the X-axis, over-respresentation in blue and under-respresentation in red. Both axes are clustered for similarity (see Methods for details). (PDF 91 kb)
Subjects
free text keywords: Microbiology, Cell Biology, Genetics, Molecular Biology, Evolutionary Biology, 69999 Biological Sciences not elsewhere classified, 19999 Mathematical Sciences not elsewhere classified, Developmental Biology, 111714 Mental Health, Hematology, Computational Biology
Funded by
NIH| Gene Ontology Consortium
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 4U41HG002273-16
  • Funding stream: NATIONAL HUMAN GENOME RESEARCH INSTITUTE
,
WT
Project
  • Funder: Wellcome Trust (WT)
Communities
Digital Humanities and Cultural Heritage
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