Abstract
In this chapter, we describe and discuss various definitions and algorithms for graphs, their representation, and uses. The presentation is formal and we leave references to software and usage for the later chapters. Our goal is to use graphs to explore, navigate, represent, and model biological data. Hence, we must often specialize general concepts and ideas to the tasks at hand. Some of our motivation is taken from the area of social network analysis where many similar problems have been considered and there is a rich history of both concepts and methods.
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© 2005 Springer Science+Business Media, Inc.
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Huber, W., Gentleman, R., Carey, V.J. (2005). Graphs. 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_20
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DOI: https://doi.org/10.1007/0-387-29362-0_20
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-25146-2
Online ISBN: 978-0-387-29362-2
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