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ProbOnto: ontology and knowledge base of probability distributions
Motivation: Probability distributions play a central role in mathematical and statistical modelling. The encoding, annotation and exchange of such models could be greatly simplified by a resource providing a common reference for the definition of probability distributions. Although some resources ex...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013898/ https://www.ncbi.nlm.nih.gov/pubmed/27153608 http://dx.doi.org/10.1093/bioinformatics/btw170 |
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author | Swat, Maciej J. Grenon, Pierre Wimalaratne, Sarala |
author_facet | Swat, Maciej J. Grenon, Pierre Wimalaratne, Sarala |
author_sort | Swat, Maciej J. |
collection | PubMed |
description | Motivation: Probability distributions play a central role in mathematical and statistical modelling. The encoding, annotation and exchange of such models could be greatly simplified by a resource providing a common reference for the definition of probability distributions. Although some resources exist, no suitably detailed and complex ontology exists nor any database allowing programmatic access. Results: ProbOnto, is an ontology-based knowledge base of probability distributions, featuring more than 80 uni- and multivariate distributions with their defining functions, characteristics, relationships and re-parameterization formulas. It can be used for model annotation and facilitates the encoding of distribution-based models, related functions and quantities. Availability and Implementation: http://probonto.org Contact: mjswat@ebi.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5013898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-50138982016-09-12 ProbOnto: ontology and knowledge base of probability distributions Swat, Maciej J. Grenon, Pierre Wimalaratne, Sarala Bioinformatics Applications Notes Motivation: Probability distributions play a central role in mathematical and statistical modelling. The encoding, annotation and exchange of such models could be greatly simplified by a resource providing a common reference for the definition of probability distributions. Although some resources exist, no suitably detailed and complex ontology exists nor any database allowing programmatic access. Results: ProbOnto, is an ontology-based knowledge base of probability distributions, featuring more than 80 uni- and multivariate distributions with their defining functions, characteristics, relationships and re-parameterization formulas. It can be used for model annotation and facilitates the encoding of distribution-based models, related functions and quantities. Availability and Implementation: http://probonto.org Contact: mjswat@ebi.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-09-01 2016-04-03 /pmc/articles/PMC5013898/ /pubmed/27153608 http://dx.doi.org/10.1093/bioinformatics/btw170 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Swat, Maciej J. Grenon, Pierre Wimalaratne, Sarala ProbOnto: ontology and knowledge base of probability distributions |
title | ProbOnto: ontology and knowledge base of probability distributions |
title_full | ProbOnto: ontology and knowledge base of probability distributions |
title_fullStr | ProbOnto: ontology and knowledge base of probability distributions |
title_full_unstemmed | ProbOnto: ontology and knowledge base of probability distributions |
title_short | ProbOnto: ontology and knowledge base of probability distributions |
title_sort | probonto: ontology and knowledge base of probability distributions |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013898/ https://www.ncbi.nlm.nih.gov/pubmed/27153608 http://dx.doi.org/10.1093/bioinformatics/btw170 |
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