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BMCBI
2004

A computational approach for ordering signal transduction pathway components from genomics and proteomics Data

8 years 6 months ago
A computational approach for ordering signal transduction pathway components from genomics and proteomics Data
Background: Signal transduction is one of the most important biological processes by which cells convert an external signal into a response. Novel computational approaches to mapping proteins onto signaling pathways are needed to fully take advantage of the rapid accumulation of genomic and proteomics information. However, despite their importance, research on signaling pathways reconstruction utilizing large-scale genomics and proteomics information has been limited. Results: We have developed an approach for predicting the order of signaling pathway components, assuming all the components on the pathways are known. Our method is built on a score function that integrates protein-protein interaction data and microarray gene expression data. Compared to the individual datasets, either protein interactions or gene transcript abundance measurements, the integrated approach leads to better identification of the order of the pathway components. Conclusions: As demonstrated in our study on ...
Yin Liu, Hongyu Zhao
Added 16 Dec 2010
Updated 16 Dec 2010
Type Journal
Year 2004
Where BMCBI
Authors Yin Liu, Hongyu Zhao
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