Spatial Matching of Multiple Configurations of Points with a Bioinformatics Application Articles uri icon

publication date

  • January 2008

start page

  • 1977

end page

  • 1995

issue

  • 12

volume

  • 37

international standard serial number (ISSN)

  • 0361-0926

electronic international standard serial number (EISSN)

  • 1532-415X

abstract

  • In this article, we present a general model to deal with the problem of matching multiple objects or configurations of points from a Bayesian point of view. We study both labeled and non labeled cases. Our model generalizes, in terms of non singular affine transformations and multiple configurations, previous two-terms matching models. As a practical application in Bioinformatics, we consider data from a microarray experiment of gorilla, bonobo, and human-cultured fibroblasts. We find out the matchings and the best affine transformation between the projections of genes on a two-dimensional space, obtained by a multidimensional scaling technique.