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Analyzing biological data using R: methods for graphs and networks.

Abstract : R is a powerful language and widely used software tool for the analysis and visualization of data. Its core capabilities can be extended through many different add-on packages. Among the many packages are some which offer a broad range of facilities for analyzing statistical properties of graphs. This chapter provides a practical tutorial covering the use of R methods for graphs and networks to examine biological data and analyze their topological and statistical properties.
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Contributor : Nolwenn Le Meur Connect in order to contact the contributor
Submitted on : Friday, November 24, 2017 - 3:32:37 PM
Last modification on : Wednesday, April 27, 2022 - 4:14:41 AM



Nolwenn Le Meur, Robert Gentleman. Analyzing biological data using R: methods for graphs and networks.. Methods in Molecular Biology, Humana Press/Springer Imprint, 2012, pp.343-73. ⟨10.1007/978-1-61779-361-5_19⟩. ⟨hal-01647788⟩



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