Package: SCEnt 0.1.0

SCEnt: Single Cell Entropy Analysis of Gene Heterogeneity in Cell Populations

Analyse single cell RNA sequencing data using entropy to calculate heterogeneity and homogeneity of genes amongst the cell population. From the work of Michael J. Casey, Ruben J. Sanchez-Garcia and Ben D. MacArthur (2020) <doi:10.1101/2020.10.01.322255>.

Authors:Hugh Warden [aut, cre]

SCEnt_0.1.0.tar.gz
SCEnt_0.1.0.zip(r-4.7)SCEnt_0.1.0.zip(r-4.6)SCEnt_0.1.0.zip(r-4.5)
SCEnt_0.1.0.tgz(r-4.6-any)SCEnt_0.1.0.tgz(r-4.5-any)
SCEnt_0.1.0.tar.gz(r-4.7-any)SCEnt_0.1.0.tar.gz(r-4.6-any)
SCEnt_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SCEnt/json (API)

# Install 'SCEnt' in R:
install.packages('SCEnt', repos = c('https://hwarden162.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hwarden162/scent/issues

On CRAN:

Conda:

5.07 score 2 stars 118 scripts 205 downloads 7 exports 11 dependencies

Last updated from:f99eb8ea89. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK114
source / vignettesOK161
linux-release-x86_64OK117
macos-release-arm64OK189
macos-oldrel-arm64OK165
windows-develOK77
windows-releaseOK64
windows-oldrelOK105
wasm-releaseOK102

Exports:gene_countsgene_hetgene_homrm_low_countsrm_low_counts_tidyscent_selectscent_select_tidy

Dependencies:clientropygluelifecyclemagrittrpillarpkgconfigrlangtibbleutf8vctrs

SCEnt

Rendered fromSCEnt.Rmdusingknitr::rmarkdownon May 13 2026.

Last update: 2021-09-28
Started: 2021-09-28