SIMoNe: Statistical Inference for MOdular NEtworks.
Bioinformatics (2009)
- PubMed: 19073589
Available from Bioinformatics
or
Abstract
SUMMARY: The R package SIMoNe (Statistical Inference for MOdular NEtworks) enables inference of gene-regulatory networks based on partial correlation coefficients from microarray experiments. Modelling gene expression data with a Gaussian graphical model (hereafter GGM), the algorithm estimates non-zero entries of the concentration matrix, in a sparse and possibly high-dimensional setting. Its originality lies in the fact that it searches for a latent modular structure to drive the inference procedure through adaptive penalization of the concentration matrix. AVAILABILITY: Under the GNU General Public Licence at http://cran.r-project.org/web/packages/simone/
Sign up today - FREE
Mendeley saves you time finding and organizing research. Learn more
- All your research in one place
- Add and import papers easily
- Access it anywhere, anytime
Start using Mendeley in seconds!
Readership Statistics
10 Readers on Mendeley
by Discipline
20% Mathematics
by Academic Status
30% Ph.D. Student
20% Assistant Professor
20% Researcher (at an Academic Institution)
by Country
30% France
20% United Kingdom
20% United States