dc.creator | Nepomuceno Chamorro, Isabel de los Ángeles | es |
dc.creator | Márquez Chamorro, Alfonso Eduardo | es |
dc.creator | Aguilar Ruiz, Jesús Salvador | es |
dc.date.accessioned | 2022-05-20T09:09:43Z | |
dc.date.available | 2022-05-20T09:09:43Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Nepomuceno Chamorro, I.d.l.Á., Márquez Chamorro, A.E. y Aguilar Ruiz, J.S. (2015). Building Transcriptional Association Networks in Cytoscape with RegNetC. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12 (4), 823-824. | |
dc.identifier.issn | 1545-5963 | es |
dc.identifier.uri | https://hdl.handle.net/11441/133495 | |
dc.description.abstract | The Regression Network plugin for Cytoscape (RegNetC) implements
the RegNet algorithm for the inference of transcriptional association network from
gene expression profiles. This algorithm is a model tree-based method to detect the
relationship between each gene and the remaining genes simultaneously instead of
analyzing individually each pair of genes as correlation-based methods do. Model
trees are a very useful technique to estimate the gene expression value by
regression models and favours localized similarities over more global similarity,
which is one of the major drawbacks of correlation-based methods. Here, we
present an integrated software suite, named RegNetC, as a Cytoscape plugin that
can operate on its own as well. RegNetC facilitates, according to user-defined
parameters, the resulted transcriptional gene association network in .sif format for
visualization, analysis and interoperates with other Cytoscape plugins, which can
be exported for publication figures. In addition to the network, the RegNetC plugin
also provides the quantitative relationships between genes expression values of
those genes involved in the inferred network, i.e., those defined by the regression
models | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología TIN2007-68084-C00 | es |
dc.description.sponsorship | Junta de Andalucía P11-TIC-7528 | es |
dc.format | application/pdf | es |
dc.format.extent | 2 | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12 (4), 823-824. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Systems biology | es |
dc.subject | Transcriptional association networks | es |
dc.subject | Gene expression profiles | es |
dc.subject | Linear regression | es |
dc.subject | Model tree | es |
dc.title | Building Transcriptional Association Networks in Cytoscape with RegNetC | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | TIN2007-68084-C00 | es |
dc.relation.projectID | P11-TIC-7528 | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/6995935 | es |
dc.identifier.doi | 10.1109/TCBB.2014.2385702 | es |
dc.contributor.group | Universidad de Sevilla. TIC205: Ingeniería del Software Aplicada | es |
dc.journaltitle | IEEE/ACM Transactions on Computational Biology and Bioinformatics | es |
dc.publication.volumen | 12 | es |
dc.publication.issue | 4 | es |
dc.publication.initialPage | 823 | es |
dc.publication.endPage | 824 | es |
dc.identifier.sisius | 20767167 | es |
dc.contributor.funder | Ministerio de Ciencia Y Tecnología (MCYT). España | es |
dc.contributor.funder | Junta de Andalucía | es |