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Computing preimages of Boolean networks
In this paper we present an algorithm based on the sum-product algorithm that finds elements in the preimage of a feed-forward Boolean networks given an output of the network. Our probabilistic method runs in linear time with respect to the number of nodes in the network. We evaluate our algorithm f...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3750533/ https://www.ncbi.nlm.nih.gov/pubmed/24267277 http://dx.doi.org/10.1186/1471-2105-14-S10-S4 |
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author | Klotz, Johannes Georg Bossert, Martin Schober, Steffen |
author_facet | Klotz, Johannes Georg Bossert, Martin Schober, Steffen |
author_sort | Klotz, Johannes Georg |
collection | PubMed |
description | In this paper we present an algorithm based on the sum-product algorithm that finds elements in the preimage of a feed-forward Boolean networks given an output of the network. Our probabilistic method runs in linear time with respect to the number of nodes in the network. We evaluate our algorithm for randomly constructed Boolean networks and a regulatory network of Escherichia coli and found that it gives a valid solution in most cases. |
format | Online Article Text |
id | pubmed-3750533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-37505332013-08-27 Computing preimages of Boolean networks Klotz, Johannes Georg Bossert, Martin Schober, Steffen BMC Bioinformatics Research In this paper we present an algorithm based on the sum-product algorithm that finds elements in the preimage of a feed-forward Boolean networks given an output of the network. Our probabilistic method runs in linear time with respect to the number of nodes in the network. We evaluate our algorithm for randomly constructed Boolean networks and a regulatory network of Escherichia coli and found that it gives a valid solution in most cases. BioMed Central 2013-08-12 /pmc/articles/PMC3750533/ /pubmed/24267277 http://dx.doi.org/10.1186/1471-2105-14-S10-S4 Text en Copyright © 2013 Klotz et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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. |
spellingShingle | Research Klotz, Johannes Georg Bossert, Martin Schober, Steffen Computing preimages of Boolean networks |
title | Computing preimages of Boolean networks |
title_full | Computing preimages of Boolean networks |
title_fullStr | Computing preimages of Boolean networks |
title_full_unstemmed | Computing preimages of Boolean networks |
title_short | Computing preimages of Boolean networks |
title_sort | computing preimages of boolean networks |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3750533/ https://www.ncbi.nlm.nih.gov/pubmed/24267277 http://dx.doi.org/10.1186/1471-2105-14-S10-S4 |
work_keys_str_mv | AT klotzjohannesgeorg computingpreimagesofbooleannetworks AT bossertmartin computingpreimagesofbooleannetworks AT schobersteffen computingpreimagesofbooleannetworks |