SIMoNe: Statistical Inference for MOdular NEtworks.
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- Record sourced from PubMed, PMID 19073589.
- Also identified by DOI 10.1093/bioinformatics/btn637.
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Abstract
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. Under the GNU General Public Licence at http://cran.r-project.org/web/packages/simone/
Medical subject headings
- Algorithms
- Gene Regulatory Networks
- Software