glmgraph

The software tool 'glmgraph' is an R package that implements a network-constrained sparse regression model for identifying relevant genomic features and building predictive models based on selected features. It uses the L1 penalty and minimax concave penalty for variable selection, Laplacian penalty for coefficient smoothing, and an efficient coordinate descent algorithm to solve the optimization problem. The package is demonstrated using a human microbiome dataset.