title: dna: An R package for differential network analysis.
abstract: Differential network analysis provides a framework for examining if there is sufficient statistical evidence to conclude that the structure of a network differs under two experimental conditions or if the structures of two networks are different. The R package dna provides tools and procedures for differential network analysis of genomic data. The focus of this package is on gene-gene networks, but the methods are easily adaptable for more general biological processes. This package includes preprocessing tools for simultaneously preparing a pair of networks for analysis, procedures for computing connectivity scores between pairs of genes based on many available statistical techniques, and tools for handling modules of genes based on these scores. Also, procedures are provided for performing permutation tests based on these scores to determine if the connectivity of a gene differs between the two networks, to determine if the connectivity of a particular set of important genes differs between the two networks, and to determine if the overall module structure differs between the two networks. Several built-in options are available for the types of scores and distances used in the testing procedures, and additionally, the procedures provide flexible methods that allow the user to define custom scores and distances.
  
  
  BACKGROUND
  dna is freely available at The Comprehensive R Archive Network, http://CRAN.R-project.org/package=dna.
authors: Department of Mathematics, University of Louisville, Louisville, KY 40292 USA.
authors: Ryan
authors: R
authors: Gill
authors: Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY 40292 USA.
authors: Somnath
authors: S
authors: Datta
authors: Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY 40292 USA.
authors: Susmita
authors: S
authors: Datta