NetActivity

Compute gene set scores from a deep learning framework

Bioconductor version: 3.24 · Package version: 1.15.0

#' NetActivity enables to compute gene set scores from previously trained sparsely-connected autoencoders. The package contains a function to prepare the data (`prepareSummarizedExperiment`) and a function to compute the gene set scores (`computeGeneSetScores`). The package `NetActivityData` contains different pre-trained models to be directly applied to the data. Alternatively, the users might use the package to compute gene set scores using custom models.

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("NetActivity")