dc.creator | Nepomuceno Chamorro, Juan Antonio | es |
dc.creator | Troncoso Lora, Alicia | es |
dc.creator | Nepomuceno Chamorro, Isabel de los Ángeles | es |
dc.creator | Aguilar Ruiz, Jesús Salvador | es |
dc.date.accessioned | 2022-04-25T10:26:32Z | |
dc.date.available | 2022-04-25T10:26:32Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Nepomuceno Chamorro, J.A., Troncoso Lora, A., Nepomuceno Chamorro, I.d.l.Á. y Aguilar Ruiz, J.S. (2016). Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure. En HAIS 2016 : 11th International Conference on Hybrid Artificial Intelligence Systems (685-693), Sevilla, España: Springer. | |
dc.identifier.isbn | 978-3-319-32033-5 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/132533 | |
dc.description.abstract | Biclustering is an unsupervised machine learning technique
that simultaneously clusters genes and conditions in gene expression
data. Gene Ontology (GO) is usually used in this context to validate
the biological relevance of the results. However, although the integration
of biological information from different sources is one of the research
directions in Bioinformatics, GO is not used in biclustering as an input
data. A scatter search-based algorithm that integrates GO information
during the biclustering search process is presented in this paper. SimUI
is a GO semantic similarity measure that defines a distance between two
genes. The algorithm optimizes a fitness function that uses SimUI to
integrate the biological information stored in GO. Experimental results
analyze the effect of integration of the biological information through
this measure. A SimUI fitness function configuration is experimentally
studied in a scatter search-based biclustering algorithm | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2011-28956-C02-02 | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2014-55894-C2-R | es |
dc.description.sponsorship | Junta de Andalucía P12-TIC-1728 | es |
dc.description.sponsorship | Universidad Pablo de Olavide APPB813097 | es |
dc.format | application/pdf | es |
dc.format.extent | 9 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | HAIS 2016 : 11th International Conference on Hybrid Artificial Intelligence Systems (2016), pp. 685-693. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Biclustering of gene expression data | es |
dc.subject | Gene pairwise GO measures | es |
dc.subject | Scatter search metaheuristic | es |
dc.title | Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure | 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.projectID | TIN2011-28956-C02-02 | es |
dc.relation.projectID | TIN2014-55894-C2-R | es |
dc.relation.projectID | P12-TIC-1728 | es |
dc.relation.projectID | APPB813097 | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-32034-2_57 | es |
dc.identifier.doi | 10.1007/978-3-319-32034-2_57 | es |
dc.contributor.group | Universidad de Sevilla. TIC134: Sistemas Informáticos | es |
dc.publication.initialPage | 685 | es |
dc.publication.endPage | 693 | es |
dc.eventtitle | HAIS 2016 : 11th International Conference on Hybrid Artificial Intelligence Systems | es |
dc.eventinstitution | Sevilla, España | es |
dc.relation.publicationplace | Cham, Switzerland | es |
dc.identifier.sisius | 21041452 | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |
dc.contributor.funder | Junta de Andalucía | es |
dc.contributor.funder | Universidad Pablo de Olavide | es |