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-4.5)SCEnt_0.1.0.zip(r-4.4)SCEnt_0.1.0.zip(r-4.3)
SCEnt_0.1.0.tgz(r-4.5-any)SCEnt_0.1.0.tgz(r-4.4-any)SCEnt_0.1.0.tgz(r-4.3-any)
SCEnt_0.1.0.tar.gz(r-4.5-noble)SCEnt_0.1.0.tar.gz(r-4.4-noble)
SCEnt_0.1.0.tgz(r-4.4-emscripten)SCEnt_0.1.0.tgz(r-4.3-emscripten)
SCEnt.pdf |SCEnt.html✨
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:

5.18 score 2 stars 152 scripts 184 downloads 7 exports 12 dependencies

Last updated 3 years agofrom:f99eb8ea89. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-winOKFeb 20 2025
R-4.5-macOKFeb 20 2025
R-4.5-linuxOKFeb 20 2025
R-4.4-winOKFeb 20 2025
R-4.4-macOKFeb 20 2025
R-4.3-winOKFeb 20 2025
R-4.3-macOKFeb 20 2025

Exports:gene_countsgene_hetgene_homrm_low_countsrm_low_counts_tidyscent_selectscent_select_tidy

Dependencies:clientropyfansigluelifecyclemagrittrpillarpkgconfigrlangtibbleutf8vctrs

SCEnt

Rendered fromSCEnt.Rmdusingknitr::rmarkdownon Feb 20 2025.

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