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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Journal articles
Methods in Molecular Biology, Humana Press/Springer Imprint, 2012, pp.343-73. 〈10.1007/978-1-61779-361-5_19〉
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Contributor : Nolwenn Le Meur <>
Submitted on : Friday, November 24, 2017 - 3:32:37 PM
Last modification on : Monday, July 2, 2018 - 4:28:04 PM

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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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