Your browser doesn't support javascript.
loading
Analyzing biological data using R: methods for graphs and networks.
Le Meur, Nolwenn; Gentleman, Robert.
Affiliation
  • Le Meur N; IRISA, Equipe Symbiose, Université de Rennes I, Rennes, France. nlemeur@gmail.com
Methods Mol Biol ; 804: 343-73, 2012.
Article in En | MEDLINE | ID: mdl-22144163
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Software / Computational Biology / Mathematical Concepts / Models, Biological Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2012 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Software / Computational Biology / Mathematical Concepts / Models, Biological Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2012 Document type: Article Affiliation country: