168 search results - page 1 / 34 » Multivariate analysis of microarray data: differential expre... |
BMCBI
2011
12 years 11 months ago
2011
Background: Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically all...
BMCBI
2008
13 years 4 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
2004
13 years 4 months ago
2004
Background: To identify differentially expressed genes, it is standard practice to test a twosample hypothesis for each gene with a proper adjustment for multiple testing. Such te...
BMCBI
2007
13 years 4 months ago
2007
Background: Gene expression is governed by complex networks, and differences in expression patterns between distinct biological conditions may therefore be complex and multivariat...
BMCBI
2007
13 years 4 months ago
2007
Background: Many procedures for finding differentially expressed genes in microarray data are based on classical or modified t-statistics. Due to multiple testing considerations, ...