RT Generic
T1 Bayesian non-linear matching of pairwise microarray gene expressions
A1 Marín Díazaraque, Juan Miguel
A1 Nieto, Carmen
A2 Universidad Carlos III de Madrid. Departamento de Estadística, 
AB In this paper, we present a Bayesian non-linear model to analyze matching pairs ofmicroarray expression data. This model generalizes, in terms of neural networks,standard linear matching models. As a practical application, we analyze data of patientswith Acute Lymphoblastic Leukemia and we find out the best neural net model thatrelates the expression levels of two types of cytogenetically different samples fromthem.
YR 2008
FD 2008-05
LK https://hdl.handle.net/10016/2611
UL https://hdl.handle.net/10016/2611
LA eng
DS e-Archivo
RD 27 jul. 2024