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bioc
NetActivity:Compute gene set scores from a deep learning framework
#' 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.
Maintained by Carlos Ruiz-Arenas. Last updated 5 months ago.
rnaseqmicroarraytranscriptionfunctionalgenomicsgogeneexpressionpathwayssoftware
4.59 score 26 scripts