Abstract
In this chapter we consider four specific data-analytic and inferential problems that can be addressed using graphs. We demonstrate the use of the software and methods described in Chapters 20 and 21 on real problems in computational biology.We will show how one can investigate relationships between gene expression and protein-protein interaction data, how GO annotations can be used to analyze gene sets, how literature citations can be related to experimental data, and how gene expression data can be mapped on pathways.
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© 2005 Springer Science+Business Media, Inc.
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Gentleman, R., Scholtens, D., Ding, B., Carey, V.J., Huber, W. (2005). Case Studies Using Graphs on Biological Data. In: Gentleman, R., Carey, V.J., Huber, W., Irizarry, R.A., Dudoit, S. (eds) Bioinformatics and Computational Biology Solutions Using R and Bioconductor. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/0-387-29362-0_22
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DOI: https://doi.org/10.1007/0-387-29362-0_22
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-25146-2
Online ISBN: 978-0-387-29362-2
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