Mostra el registre d'ítem simple
Parsimonious selection of useful genes in microarray gene expression data
dc.contributor.author | González Navarro, Félix Fernando |
dc.contributor.author | Belanche Muñoz, Luis Antonio |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2013-06-03T08:29:20Z |
dc.date.available | 2013-06-03T08:29:20Z |
dc.date.created | 2011 |
dc.date.issued | 2011 |
dc.identifier.citation | González, F.F.; Belanche, Ll. Parsimonious selection of useful genes in microarray gene expression data. A: "Software tools and algorithms for biological systems". Springer, 2011, p. 45-55. |
dc.identifier.isbn | 978-1-4419-7046-6 |
dc.identifier.uri | http://hdl.handle.net/2117/19482 |
dc.description.abstract | Machine Learning methods have of late made significant efforts to solving multidisciplinary problems in the field of cancer classification in microarray gene expression data. These tasks are characterized by a large number of features and a few observations, making the modeling a non-trivial undertaking. In this work we apply entropic filter methods for gene selection, in combination with several off-the-shelf classifiers. The introduction of bootstrap resampling techniques permits the achievement of more stable performance estimates. Our findings show that the proposed methodology permits a drastic reduction in dimension, offering attractive solutions both in terms of prediction accuracy and number of explanatory genes; a dimensionality reduction technique preserving discrimination capabilities is used for visualization of the selected genes. |
dc.format.extent | 11 p. |
dc.language.iso | eng |
dc.publisher | Springer |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica |
dc.subject.lcsh | Computational biology |
dc.subject.lcsh | Data mining |
dc.subject.lcsh | Cancer -- Research |
dc.subject.other | Biological data mining and knowledge discovery |
dc.subject.other | Gene expression analysis |
dc.subject.other | Tools and methods for computational biology and bioinformatics |
dc.subject.other | Cancer informatics |
dc.title | Parsimonious selection of useful genes in microarray gene expression data |
dc.type | Part of book or chapter of book |
dc.subject.lemac | Biologia computacional |
dc.subject.lemac | Mineria de dades |
dc.subject.lemac | Càncer -- Investigació |
dc.contributor.group | Universitat Politècnica de Catalunya. SOCO - Soft Computing |
dc.identifier.doi | 10.1007/978-1-4419-7046-6_5 |
dc.relation.publisherversion | https://link.springer.com/book/10.1007/978-1-4419-7046-6 |
dc.rights.access | Open Access |
local.identifier.drac | 11682668 |
dc.description.version | Postprint (author’s final draft) |
local.citation.author | González, F.F.; Belanche, Ll. |
local.citation.publicationName | Software tools and algorithms for biological systems |
local.citation.startingPage | 45 |
local.citation.endingPage | 55 |
Fitxers d'aquest items
Aquest ítem apareix a les col·leccions següents
-
Capítols de llibre [25]
-
Capítols de llibre [86]