Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/7483
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Soldatova, LN | - |
dc.contributor.author | Rzhetsky, A | - |
dc.contributor.author | De Grave, K | - |
dc.contributor.author | King, RD | - |
dc.date.accessioned | 2013-06-21T14:35:24Z | - |
dc.date.available | 2013-06-21T14:35:24Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Journal of Biomedical Semantics, 4(Sup 1): S7, Apr 2013 | en_US |
dc.identifier.issn | 2041-1480 | - |
dc.identifier.uri | http://www.jbiomedsem.com/content/4/S1/S7 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/7483 | - |
dc.description | This article is available through the Brunel Open Access Publishing Fund. Copyright © 2013 Soldatova et al; licensee BioMed Central Ltd. | en_US |
dc.description.abstract | The theory of probability is widely used in biomedical research for data analysis and modelling. In previous work the probabilities of the research hypotheses have been recorded as experimental metadata. The ontology HELO is designed to support probabilistic reasoning, and provides semantic descriptors for reporting on research that involves operations with probabilities. HELO explicitly links research statements such as hypotheses, models, laws, conclusions, etc. to the associated probabilities of these statements being true. HELO enables the explicit semantic representation and accurate recording of probabilities in hypotheses, as well as the inference methods used to generate and update those hypotheses. We demonstrate the utility of HELO on three worked examples: changes in the probability of the hypothesis that sirtuins regulate human life span; changes in the probability of hypotheses about gene functions in the S. cerevisiae aromatic amino acid pathway; and the use of active learning in drug design (quantitative structure activity relation learning), where a strategy for the selection of compounds with the highest probability of improving on the best known compound was used. HELO is open source and available at https://github.com/larisa-soldatova/HELO. | en_US |
dc.description.sponsorship | This work was partially supported by grant BB/F008228/1 from the UK Biotechnology & Biological Sciences Research Council, from the European Commission under the FP7 Collaborative Programme, UNICELLSYS, KU Leuven GOA/08/008 and ERC Starting Grant 240186. | en_US |
dc.language | eng | - |
dc.language.iso | en | en_US |
dc.publisher | BioMed Central Ltd | en_US |
dc.subject | Ontology | en_US |
dc.subject | Knowledge representation | en_US |
dc.subject | Probabilistic reasoning | en_US |
dc.title | Representation of probabilistic scientific knowledge | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1186/2041-1480-4-S1-S7 | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Active Staff | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths/IS and Computing | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/Centre for Information and Knowledge Management | - |
Appears in Collections: | Brunel OA Publishing Fund Dept of Mathematics Research Papers Mathematical Sciences |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Fulltext.pdf | 1.17 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.