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



  • 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 (, 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
  • 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:
Status: Published
Publisher: BioMed Central
Refereed: Yes
Identification Number:
Related URLs:

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