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BMCBI
2007

A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microar

8 years 8 months ago
A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microar
Background: The incorporation of prior biological knowledge in the analysis of microarray data has become important in the reconstruction of transcription regulatory networks in a cell. Most of the current research has been focused on the integration of multiple sets of microarray data as well as curated databases for a genome scale reconstruction. However, individual researchers are more interested in the extraction of most useful information from the data of their hypothesis-driven microarray experiments. How to compile the prior biological knowledge from literature to facilitate new hypothesis generation from a microarray experiment is the focus of this work. We propose a novel method based on the statistical analysis of reported gene interactions in PubMed literature. Results: Using Gene Ontology (GO) Molecular Function annotation for reported gene regulatory interactions in PubMed literature, a statistical analysis method was proposed for the derivation of a likelihood of interac...
Peter Larsen, Eyad Almasri, Guanrao Chen, Yang Dai
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2007
Where BMCBI
Authors Peter Larsen, Eyad Almasri, Guanrao Chen, Yang Dai
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