Discovery of novel biomarkers and phenotypes by semantic technologies.

Trugenberger, CA, Wälti, C, Peregrim, D et al. (2 more authors) (2013) Discovery of novel biomarkers and phenotypes by semantic technologies. BMC Bioinformatics, 14. 51. 51 - ?. ISSN 1471-2105

Abstract

Metadata

Authors/Creators:
  • Trugenberger, CA
  • Wälti, C
  • Peregrim, D
  • Sharp, ME
  • Bureeva, S
Copyright, Publisher and Additional Information: © 2013 Trugenberger et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Biological Markers; Data Mining; Diabetes Insipidus; Diabetes Mellitus; Humans; Obesity; Phenotype; PubMed; Semantics; Vocabulary, Controlled; In silico drug research; Semantic technologies; Text mining; Biomedical ontologies; Discovery of novel relationships
Dates:
  • Published: 2013
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Pollard Institute (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 Jul 2014 12:09
Last Modified: 11 Jul 2014 12:18
Published Version: http://dx.doi.org/10.1186/1471-2105-14-51
Status: Published
Publisher: BioMed Central
Refereed: Yes
Identification Number: https://doi.org/10.1186/1471-2105-14-51
Related URLs:

Share / Export

Statistics