publications:logiciels
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| ===== Network Inference ===== | ===== Network Inference ===== | ||
| - | * [[http://cran.r-project.org/web/packages/G1DBN/index.html|G1DBN]]\\ | + | * [[http://cran.r-project.org/web/packages/G1DBN/index.html|G1DBN]]: R package for reconstruction of gene regulatory networks. G1DBN performs dynamic Bayesian network (DBN) inference using 1st order conditional dependencies. |
| - | //Module R pour la reconstruction de réseaux génétiques : inférence d'un réseau bayésien dynamique à partir d'indépendence d'ordre 1.//\\ | + | * [[:logiciels:simone|Simone]] |
| - | R package for reconstruction of gene regulatory networks. G1DBN performs dynamic Bayesian network (DBN) inference using 1st order conditional dependencies. | + | |
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| - | * [[:logiciels:simone|Simone]]\\ | + | |
| - | SIMoNe (Statistical Inference for MOdular NEtworks) is a R package which enables inference of gene-regulatory networks based on partial correlation coefficients from microarray experiments. Modelling gene expression data with a Gaussian Graphical Model, the algorithm estimates nonzero 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. | + | |
| ===== Sequence Analysis ===== | ===== Sequence Analysis ===== | ||
publications/logiciels.txt · Last modified: 2015/09/07 15:35 by pneuvial
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