dc.contributor |
Universitat de Vic. Escola Politècnica Superior |
|
dc.contributor |
Universitat de Vic. Grup de Recerca en Bioinformàtica i Estadística Mèdica |
|
dc.contributor.author |
Calle, M. Luz
|
|
dc.contributor.author |
Urrea Gales, Víctor
|
|
dc.contributor.author |
Malats i Riera, Núria
|
|
dc.contributor.author |
Van Steen, Kristel
|
|
dc.date.accessioned |
2014-05-19T11:22:46Z |
|
dc.date.available |
2014-05-19T11:22:46Z |
|
dc.date.created |
2010 |
|
dc.date.issued |
2010 |
|
dc.identifier.citation |
Calle Rosingana, M. L., Urrea, V., Malats, N., & Van Steen, K. (2010). mbmdr: an R package for exploring gene-gene interactions associated with binary or quantitative traits. Bioinformatics, 26(17), 2198-2199. doi:10.1093/bioinformatics/btq352 |
ca_ES |
dc.identifier.issn |
1367-4803 |
|
dc.identifier.uri |
http://hdl.handle.net/10854/3059 |
|
dc.description.abstract |
Summary: We describe mbmdr, an R package for implementing
the model-based multifactor dimensionality reduction (MB-MDR)
method. MB-MDR has been proposed by Calle et al. as a dimension
reduction method for exploring gene–gene interactions in casecontrol
association studies. It is an extension of the popular
multifactor dimensionality reduction (MDR) method of Ritchie et al.
allowing a more flexible definition of risk cells. In MB-MDR, risk
categories are defined using a regression model which allows
adjustment for covariates and main effects and, in addition to the
classical low risk and high risk categories, MB-MDR considers a
third category of indeterminate or not informative cells. An important
improvement added to the current mbmdr algorithm with respect
to the original MB-MDR formulation in Calle et al. and also to
the classical MDR approach, is the extension of the methodology
to different outcome types. While MB-MDR was initially proposed
for binary traits in the context of case-control studies, the mbmdr
package provides options to analyze both binary or quantitative traits
for unrelated individuals. |
ca_ES |
dc.description.sponsorship |
The Ministerio de Educacion y Ciencia (Spain) (MTM2008-06747-C02-02); La Marato de TV3 Foundation (Grant 050831); Generalitat de Catalunya (2009SGR-581). |
|
dc.format |
application/pdf |
|
dc.format.extent |
2 p. |
ca_ES |
dc.language.iso |
eng |
ca_ES |
dc.publisher |
Oxford University Press |
ca_ES |
dc.relation |
MEC/PN2008-2011/MTM2008-06747-C02-00 |
|
dc.relation |
AGAUR/2009-2014/2009SGR-581 |
|
dc.rights |
(c) Oxford University Press |
|
dc.rights |
Tots els drets reservats |
ca_ES |
dc.subject.other |
Bioinformàtica |
ca_ES |
dc.subject.other |
Genètica |
ca_ES |
dc.subject.other |
Epidemiologia genètica |
ca_ES |
dc.title |
mbmdr: an R package for exploring gene–gene interactions associated with binary or quantitative traits |
ca_ES |
dc.type |
info:eu-repo/semantics/article |
ca_ES |
dc.identifier.doi |
https://doi.org/10.1093/bioinformatics/btq352 |
|
dc.relation.publisherversion |
http://bioinformatics.oxfordjournals.org/content/26/17/2198.long |
|
dc.rights.accessRights |
info:eu-repo/semantics/closedAccess |
ca_ES |
dc.type.version |
info:eu-repo/publishedVersion |
ca_ES |
dc.indexacio |
Indexat a SCOPUS |
|
dc.indexacio |
Indexat a WOS/JCR |
ca_ES |
dc.contribution.funder |
Ministerio de Ciencia e Innovación (España) |
|
dc.contribution.funder |
Generalitat de Catalunya. Agència de Gestió d'Ajuts Universitaris i de Recerca |
|