289 search results - page 4 / 58 » Bayesian Networks Learning for Gene Expression Datasets |
BMCBI
2006
13 years 9 months ago
2006
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
BMCBI
2010
13 years 4 months ago
2010
Background: Differential co-expression analysis is an emerging strategy for characterizing disease related dysregulation of gene expression regulatory networks. Given pre-defined ...
FGCN
2008
IEEE
13 years 11 months ago
2008
IEEE
We report the results of fitting mixture models to the distribution of expression values for individual genes over a broad range of normal tissues, which we call the marginal expr...
JMLR
2006
13 years 9 months ago
2006
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
ICMLA
2010
13 years 7 months ago
2010
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...