Sciweavers

Share
BMCBI
2008

Relating gene expression data on two-component systems to functional annotations in Escherichia coli

8 years 6 months ago
Relating gene expression data on two-component systems to functional annotations in Escherichia coli
Background: Obtaining physiological insights from microarray experiments requires computational techniques that relate gene expression data to functional information. Traditionally, this has been done in two consecutive steps. The first step identifies important genes through clustering or statistical techniques, while the second step assigns biological functions to the identified groups. Recently, techniques have been developed that identify such relationships in a single step. Results: We have developed an algorithm that relates patterns of gene expression in a set of microarray experiments to functional groups in one step. Our only assumption is that patterns cooccur frequently. The effectiveness of the algorithm is demonstrated as part of a study of regulation by two-component systems in Escherichia coli. The significance of the relationships between expression data and functional annotations is evaluated based on density histograms that are constructed using product similarity am...
Anne M. Denton, Jianfei Wu, Megan K. Townsend, Pre
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where BMCBI
Authors Anne M. Denton, Jianfei Wu, Megan K. Townsend, Preeti Sule, Birgit M. Prüß
Comments (0)
books