Abstract
Many data types and many models of biological systems are best described in terms of graphs. Protein–protein interaction data are a prominent example. In this chapter, we explore a curated dataset of protein interactions and perform a statistical analysis of the relationship between protein interaction and coexpression. We also show how to access large-scale protein–protein interaction datasets from the IntAct repository at the EBI.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Chiang, T., Falcon, S., Hahne, F., Huber, W. (2008). Using Graphs for Interactome Data. In: Bioconductor Case Studies. Use R!. Springer, New York, NY. https://doi.org/10.1007/978-0-387-77240-0_11
Download citation
DOI: https://doi.org/10.1007/978-0-387-77240-0_11
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-77239-4
Online ISBN: 978-0-387-77240-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)