title: stringgaussnet: from differentially expressed genes to semantic and Gaussian networks generation.
abstract: BACKGROUND
  Knowledge-based and co-expression networks are two kinds of gene networks that can be currently implemented by sophisticated but distinct tools. We developed stringgaussnet, an R package that integrates both approaches, starting from a list of differentially expressed genes.
  
  
  BACKGROUND
  henri-jean.garchon@inserm.fr.
  
  
  METHODS
  Freely available on the web at http://cran.r-project.org/web/packages/stringgaussnet.
authors.affiliation: Inserm U1173 and University of Versailles Saint-Quentin, 78180 Montigny-le-Bretonneux, France and.
authors.forename: Emmanuel
authors.initials: E
authors.lastname: Chaplais
authors.affiliation: Inserm U1173 and University of Versailles Saint-Quentin, 78180 Montigny-le-Bretonneux, France and Division of Genetics, Ambroise Paré Hospital, 92100 Boulogne-Billancourt, France.
authors.forename: Henri-Jean
authors.initials: HJ
authors.lastname: Garchon
mesh_terms: D020869:Gene Expression Profiling / Q000379:methods*; D053263:Gene Regulatory Networks; D006801:Humans; D016011:Normal Distribution; D012660:Semantics; D012984:Software