Package: scUtils 0.1.0.9000

scUtils: Utility Functions for Single-Cell RNA Sequencing Data

Analysis of single-cell RNA sequencing data can be simple and clear with the right utility functions. This package collects such functions, aiming to fulfill the following criteria: code clarity over performance (i.e. plain R code instead of C code), most important analysis steps over completeness (analysis 'by hand', not automated integration etc.), emphasis on quantitative visualization (intensity-coded color scale, etc.).

Authors:Felix Frauhammer [aut, cre], Simon Anders [ctb]

scUtils_0.1.0.9000.tar.gz
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scUtils_0.1.0.9000.tgz(r-4.4-any)scUtils_0.1.0.9000.tgz(r-4.3-any)
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scUtils.pdf |scUtils.html
scUtils/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/felixthestudent/scutils/issues

On CRAN:

5 exports 0.92 score 34 dependencies 1 dependents 48 scripts 131 downloads

Last updated 4 years agofrom:987d1ba6db. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winOKSep 05 2024
R-4.5-linuxOKSep 05 2024
R-4.4-winOKSep 05 2024
R-4.4-macOKSep 05 2024
R-4.3-winOKSep 05 2024
R-4.3-macOKSep 05 2024

Exports:closed_breaks_log2closed_labelscolVars_spmfeatrowVars_spm

Dependencies:assertthatclicolorspacedplyrfansifarvergenericsggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbletidyselectutf8vctrsviridisviridisLitewithr