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NetActivity
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see NetActivity.
Compute gene set scores from a deep learning framework
Bioconductor version: 3.19
#' 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.
Author: Carlos Ruiz-Arenas [aut, cre]
Maintainer: Carlos Ruiz-Arenas <carlos.ruiza at upf.edu>
citation("NetActivity")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("NetActivity")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("NetActivity")
Details
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Follow Installation instructions to use this package in your R session.