Publication:
Spatial matching of M configurations of points with a bioinformatics application

Simple item page
dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.contributor.authorMarín Díazaraque, Juan Miguel
dc.contributor.authorNieto, Carmen
dc.contributor.editorUniversidad Carlos III de Madrid. Departamento de Estadística
dc.date.accessioned2007-03-07T12:51:18Z
dc.date.available2007-03-07T12:51:18Z
dc.date.issued2007-03
dc.description.abstractIn this paper, we present a model to deal with the problem of matching M objects or configurations of points. This is a generalization of the model proposed by Green and Mardia (2006). We consider, as a direct and simple application, the case of three configurations with labelled and with unlabelled points. In both cases, we consider data from a microarray experiment of gorilla, bonobo and human cultured fibroblasts published by Karaman et al. (2003). We find out the matchings and the best affine transformation between the projections of genes in a two dimensional space, obtained by a Multidimensional Scaling technique.
dc.format.extent446640 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.repecws070903
dc.identifier.urihttps://hdl.handle.net/10016/643
dc.language.isoeng
dc.language.isoeng
dc.relation.ispartofseriesUC3M Working papers. Statistics and Econometrics
dc.relation.ispartofseries07-03
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaEstadística
dc.subject.otherMCMC computation
dc.subject.otherMicroarray analysis
dc.subject.otherMultidimensional scaling
dc.subject.otherSpatial Bayesian methods
dc.subject.otherSpatial Poisson Process
dc.subject.otherVon Mises distribution
dc.titleSpatial matching of M configurations of points with a bioinformatics application
dc.typeworking paper*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ws070903.pdf
Size:
436.17 KB
Format:
Adobe Portable Document Format
Download
Collections
DES - Working Papers. Statistics and Econometrics. WS