18 search results - page 1 / 4 » A full Bayesian hierarchical mixture model for the variance ... |
BMCBI
2007
13 years 6 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...
BMCBI
2008
13 years 6 months ago
2008
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
BMCBI
2006
13 years 6 months ago
2006
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
BMCBI
2008
13 years 6 months ago
2008
Background: This paper addresses key biological problems and statistical issues in the analysis of large gene expression data sets that describe systemic temporal response cascade...
BMCBI
2007
13 years 6 months ago
2007
Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...