bioconda / packages / bioconductor-glmsparsenet 1.12.0

Network Centrality Metrics for Elastic-Net Regularized Models


Info: This package contains files in non-standard labels.

conda install

  • noarch  v1.12.0
To install this package with conda run one of the following:
conda install -c bioconda bioconductor-glmsparsenet
conda install -c bioconda/label/gcc7 bioconductor-glmsparsenet


glmSparseNet is an R-package that generalizes sparse regression models when the features (e.g. genes) have a graph structure (e.g. protein-protein interactions), by including network-based regularizers. glmSparseNet uses the glmnet R-package, by including centrality measures of the network as penalty weights in the regularization. The current version implements regularization based on node degree, i.e. the strength and/or number of its associated edges, either by promoting hubs in the solution or orphan genes in the solution. All the glmnet distribution families are supported, namely "gaussian", "poisson", "binomial", "multinomial", "cox", and "mgaussian".

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