This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Last revision Both sides next revision | ||
publications:logiciels [2015/09/07 15:32] pneuvial |
publications:logiciels [2015/09/07 15:34] pneuvial |
||
---|---|---|---|
Line 25: | Line 25: | ||
===== Linear models ===== | ===== Linear models ===== | ||
- | * {{:logiciels:bald_0.1.1.tar.gz|BALD}}: the R package BALD implements/combines functions for Genome-Wide Association Studies including simulation of SNPs data, constrained hierarchical clustering using Linkage Disequilibrium (LD) measures, the Gap statistic to find the optimal number of clusters, and statistical regression models for SNP selection (Univariate, Lasso, Group Lasso, Elastic-Net). | + | * [[logiciels:bald|BALD]] |
* [[logiciels:jointseg|jointseg]] | * [[logiciels:jointseg|jointseg]] | ||
* [[logiciels:quadrupen|quadrupen]] | * [[logiciels:quadrupen|quadrupen]] | ||
Line 33: | Line 32: | ||
===== Network Analysis ===== | ===== Network Analysis ===== | ||
- | * [[http://cran.r-project.org/web/packages/mixer/|Mixer]]\\ | + | * [[http://cran.r-project.org/web/packages/mixer/|Mixer]]: Mixer performs the estimation of Stochastic Blockmodels, a model base clustering method for the nodes of a graph.\\ |
- | Mixer performs the estimation of Stochastic Blockmodels, a model base clustering method for the nodes of a graph. | + | * [[:logiciels:mixnet|Mixnet]]: A probabilistic mixture model for random graphs, clustering the nodes of a graph. |
- | + | * [[logiciels:degraph|DEGraph]] | |
- | * [[:logiciels:mixnet|Mixnet]]\\ | + | * [[http://cran.r-project.org/src/contrib/Archive/NeMo|NeMo]]: the R package NeMo performs the detection of over-represented motifs in networks. The underlying null model considered is the Erdös-Rényi mixture for graphs.\\ |
- | A new probabilistic mixture model for random graphs, clustering the nodes of a graph. | + | * [[:logiciels:osbm|OSBM]]: Overlapping Stochastic BlockModels: the R package OSBM clusters the nodes of a graph relying on overlapping groups. |
- | + | * [[http://cran.r-project.org/src/contrib/Archive/paloma|paloma]]: the R package paloma performs the detection of locally over-represented motifs in networks. The underlying null model considered is the Erdös-Rényi mixture for graphs. The difference with other motif detection tools is that the statistic considered is not the overall count of patterns of size n but the maximum number of such patterns sharing a subpattern of size n-1. | |
- | * [[http://example.com|External Link]] | + | |
- | * [[logiciels:degraph]] | + | |
- | * [[http://cran.r-project.org/src/contrib/Archive/NeMo|NeMo]]\\ | + | |
- | R package NeMo performs the detection of over-represented motifs in networks. The underlying null model considered is the Erdös-Rényi mixture for graphs. | + | |
- | + | ||
- | * [[:logiciels:osbm|OSBM]]: Overlapping Stochastic BlockModels\\ | + | |
- | R package OSBM clusters the nodes of a graph relying on overlapping groups. | + | |
- | + | ||
- | * [[http://cran.r-project.org/src/contrib/Archive/paloma|paloma]]\\ | + | |
- | R package paloma performs the detection of locally over-represented motifs in networks. The underlying null model considered is the Erdös-Rényi mixture for graphs. The difference with other motif detection tools is that the statistic considered is not the overall count of patterns of size n but the maximum number of such patterns sharing a subpattern of size n-1. | + | |