dc.creator | Gutiérrez Avilés, David | es |
dc.creator | Rubio Escudero, Cristina | es |
dc.date.accessioned | 2022-04-06T08:33:00Z | |
dc.date.available | 2022-04-06T08:33:00Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Gutiérrez Avilés, D. y Rubio Escudero, C. (2015). MSL: A Measure to Evaluate Three-dimensional Patterns in Gene Expression Data. Evolutionary Bioinformatics, 11, 121-135. | |
dc.identifier.issn | 1176-9343 | es |
dc.identifier.uri | https://hdl.handle.net/11441/131785 | |
dc.description.abstract | Microarray technology is highly used in biological research environments due to its ability to monitor the RNA concentration levels. The
analysis of the data generated represents a computational challenge due to the characteristics of these data. Clustering techniques are widely applied to
create groups of genes that exhibit a similar behavior. Biclustering relaxes the constraints for grouping, allowing genes to be evaluated only under a subset of
the conditions. Triclustering appears for the analysis of longitudinal experiments in which the genes are evaluated under certain conditions at several time
points. These triclusters provide hidden information in the form of behavior patterns from temporal experiments with microarrays relating subsets of genes,
experimental conditions, and time points. We present an evaluation measure for triclusters called Multi Slope Measure, based on the similarity among the
angles of the slopes formed by each profile formed by the genes, conditions, and times of the tricluster | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología TIN2011-28956-C02-02 | es |
dc.description.sponsorship | Junta de Andalucía TIC-7528 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | SAGE Publications | es |
dc.relation.ispartof | Evolutionary Bioinformatics, 11, 121-135. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Triclustering | es |
dc.subject | Angular comparison | es |
dc.subject | Genetic algorithms | es |
dc.subject | Fitness function | es |
dc.subject | microarrays | es |
dc.title | MSL: A Measure to Evaluate Three-dimensional Patterns in Gene Expression Data | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | 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 | TIC-7528 | es |
dc.relation.publisherversion | https://journals.sagepub.com/doi/10.4137/EBO.S25822 | es |
dc.identifier.doi | 10.4137/EBO.S25822 | es |
dc.journaltitle | Evolutionary Bioinformatics | es |
dc.publication.volumen | 11 | es |
dc.publication.initialPage | 121 | es |
dc.publication.endPage | 135 | es |
dc.identifier.sisius | 21005893 | es |
dc.contributor.funder | Ministerio de Ciencia Y Tecnología (MCYT). España | es |
dc.contributor.funder | Junta de Andalucía | es |