145 search results - page 12 / 29 » Stochastic models for inferring genetic regulation from micr... |
BMCBI
2008
13 years 8 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...
FGCN
2008
IEEE
13 years 10 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...
BMCBI
2006
13 years 8 months ago
2006
Background: Microarray expression profiling has been widely used to identify differentially expressed genes in complex cellular systems. However, while such methods can be used to...
BMCBI
2007
13 years 8 months ago
2007
Background: The identification of transcription factors (TFs) associated with a biological process is fundamental to understanding its regulatory mechanisms. From microarray data,...
BMCBI
2007
13 years 8 months ago
2007
Background: To interpret microarray experiments, several ontological analysis tools have been developed. However, current tools are limited to specific organisms. Results: We deve...