dc.creator | Rubio Escudero, Cristina | es |
dc.creator | Harari, Óscar | es |
dc.creator | Cordón, Óscar | es |
dc.creator | Zwir, Igor | es |
dc.date.accessioned | 2022-12-01T10:20:34Z | |
dc.date.available | 2022-12-01T10:20:34Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Rubio Escudero, C., Harari, Ó., Cordón, Ó. y Zwir, I. (2007). Modeling Genetic Networks: Comparison of Static and Dynamic Models. En EvoBIO 2007: 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (78-89), Valencia, España: Springer. | |
dc.identifier.isbn | 978-3-540-71782-9 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/139995 | |
dc.description.abstract | Biomedical research has been revolutionized by high-throughput
techniques and the enormous amount of biological data they are able to
generate. The interest shown over network models and systems biology is
rapidly raising. Genetic networks arise as an essential task to mine these data
since they explain the function of genes in terms of how they influence other
genes. Many modeling approaches have been proposed for building genetic
networks up. However, it is not clear what the advantages and disadvantages of
each model are. There are several ways to discriminate network building
models, being one of the most important whether the data being mined presents
a static or dynamic fashion. In this work we compare static and dynamic models
over a problem related to the inflammation and the host response to injury. We
show how both models provide complementary information and cross-validate
the obtained results. | es |
dc.format | application/pdf | es |
dc.format.extent | 12 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | EvoBIO 2007: 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (2007), pp. 78-89. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Modeling Genetic Networks: Comparison of Static and Dynamic Models | es |
dc.type | info:eu-repo/semantics/conferenceObject | 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.publisherversion | https://link.springer.com/chapter/10.1007/978-3-540-71783-6_8 | es |
dc.identifier.doi | 10.1007/978-3-540-71783-6_8 | es |
dc.contributor.group | Universidad de Sevilla. TIC-254: Data Science and Big Data Lab | es |
dc.publication.initialPage | 78 | es |
dc.publication.endPage | 89 | es |
dc.eventtitle | EvoBIO 2007: 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics | es |
dc.eventinstitution | Valencia, España | es |
dc.relation.publicationplace | Berlin, Germany | es |