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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Villaverde, A. F. | es_ES |
dc.contributor.author | Becker, Kolja | es_ES |
dc.contributor.author | Banga, Julio R. | es_ES |
dc.date.accessioned | 2016-10-21T11:30:04Z | - |
dc.date.available | 2016-10-21T11:30:04Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Computational Methods in Systems Biology: 323-329 (2016) | es_ES |
dc.identifier.isbn | 978-3-319-45176-3 | - |
dc.identifier.other | 978-3-319-45177-0 | - |
dc.identifier.uri | http://hdl.handle.net/10261/138834 | - |
dc.description | 7 páginas, 3 figuras.-- 14th International Conference, CMSB 2016, Cambridge, UK, September 21-23, 2016, Proceedings | es_ES |
dc.description.abstract | A common approach for reverse engineering biological networks from data is to deduce the existence of interactions among nodes from information theoretic measures. Estimating these quantities in a multidimensional space is computationally demanding for large datasets. This hampers the application of elaborate algorithms – which are crucial for discarding spurious interactions and determining causal relationships – to large-scale network inference problems. To alleviate this issue we have developed PREMER, a software tool which can automatically run in parallel and sequential environments, thanks to its implementation of OpenMP directives. It recovers network topology and estimates the strength and causality of interactions using information theoretic criteria, and allowing the incorporation of prior knowledge. A preprocessing module takes care of imputing missing data and correcting outliers if needed. PREMER (https://sites.google.com/site/premertoolbox/) runs on Windows, Linux and OSX, it is implemented in Matlab/Octave and Fortran 90, and it does not require any commercial software | es_ES |
dc.description.sponsorship | AFV acknowledges funding from the Galician government (Xunta de Galiza) through the I2C fellowship ED481B2014/133-0. KB was supported by the German Federal Ministry of Research and Education (BMBF, OncoPath consortium). JRB acknowledges funding from the Spanish government (MINECO) and the European Regional Development Fund (ERDF) through the project \SYN- BIOFACTORY" (grant number DPI2014-55276-C5-2-R). This project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 686282 (CanPathPro). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer Nature | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/686282 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2014-55276-C5-2-R | - |
dc.relation.ispartofseries | Lecture Notes in Computer Science, v. 9859 | es_ES |
dc.relation.isversionof | Postprint | es_ES |
dc.rights | openAccess | es_ES |
dc.subject | Network inference | es_ES |
dc.subject | Information theory | es_ES |
dc.subject | Parallel computing | es_ES |
dc.title | PREMER: parallel reverse engineering of biological networks with information theory | es_ES |
dc.type | capítulo de libro | es_ES |
dc.identifier.doi | 10.1007/978-3-319-45177-0_21 | - |
dc.description.peerreviewed | Peer reviewed | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1007/978-3-319-45177-0_21 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Xunta de Galicia | - |
dc.contributor.funder | Federal Ministry of Education and Research (Germany) | - |
dc.contributor.funder | Ministerio de Economía y Competitividad (España) | - |
dc.relation.csic | Sí | es_ES |
oprm.item.hasRevision | no ko 0 false | * |
dc.identifier.funder | http://dx.doi.org/10.13039/501100000780 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100003329 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100002347 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100010801 | es_ES |
dc.type.coar | http://purl.org/coar/resource_type/c_3248 | es_ES |
item.fulltext | With Fulltext | - |
item.openairetype | capítulo de libro | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
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PREMER_parallel_reverse_engineering.pdf | 847,89 kB | Adobe PDF | Visualizar/Abrir |
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