Marín Díazaraque, Juan MiguelNieto, CarmenUniversidad Carlos III de Madrid. Departamento de Estadística2008-05-282008-05-282008-05https://hdl.handle.net/10016/2611In this paper, we present a Bayesian non-linear model to analyze matching pairs of microarray expression data. This model generalizes, in terms of neural networks, standard linear matching models. As a practical application, we analyze data of patients with Acute Lymphoblastic Leukemia and we find out the best neural net model that relates the expression levels of two types of cytogenetically different samples from them.application/pdfengAtribución-NoComercial-SinDerivadas 3.0 EspañaMCMC computationMicroarray data analysisMultidimensional scalingNeural networkSpatial Bayesian methodsworking paperEstadísticaopen accessws082507