89 search results - page 4 / 18 » Learning Bayesian Classifiers from Gene-Expression MicroArra... |
ISMB
2004
13 years 6 months ago
2004
Motivation: Sigma factors regulate the expression of genes in Bacillus subtilis at the transcriptional level. First we assess the ability of currently available gene regulatory ne...
BMCBI
2006
13 years 4 months ago
2006
Background: Microarray technology produces gene expression data on a genomic scale for an endless variety of organisms and conditions. However, this vast amount of information nee...
JMLR
2006
13 years 4 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 ...
ICML
2010
IEEE
13 years 3 months ago
2010
IEEE
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
BMCBI
2007
13 years 4 months ago
2007
Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...