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.).
| Version: |
0.1.0 |
| Imports: |
ggplot2, Matrix, scales, assertthat, dplyr, viridis, viridisLite, methods |
| Suggests: |
testthat, tibble |
| Published: |
2020-06-25 |
| Author: |
Felix Frauhammer [aut, cre],
Simon Anders [ctb] (Simon Anders wrote the colVars_spm function.) |
| Maintainer: |
Felix Frauhammer <felixwertek at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
scUtils results |
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