singscore: Rank-based single-sample gene set scoring method

A simple single-sample gene signature scoring method that uses rank-based statistics to analyze the sample's gene expression profile. It scores the expression activities of gene sets at a single-sample level.

Package details

AuthorRuqian Lyu [aut, ctb], Momeneh Foroutan [aut, ctb] (<https://orcid.org/0000-0002-1440-0457>), Dharmesh D. Bhuva [aut, cre] (<https://orcid.org/0000-0002-6398-9157>)
Bioconductor views GeneExpression GeneSetEnrichment Software
MaintainerDharmesh D. Bhuva <bhuva.d@wehi.edu.au>
LicenseGPL-3
Version1.10.0
URL https://davislaboratory.github.io/singscore
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("singscore")

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singscore documentation built on Nov. 8, 2020, 8:27 p.m.