ccdf: Distribution-Free Single-Cell Differential Expression Analysis

Complex hypothesis testing through conditional cumulative distribution function estimation. Method is detailed in: Gauthier M, Agniel D, Thiebaut R & Hejblum BP (2020). "Distribution-free complex hypothesis testing for single-cell RNA-seq differential expression analysis", BioRxiv <doi:10.1101/2021.05.21.445165>.

Version: 1.1.4
Depends: R (≥ 3.6)
Imports: pbapply, parallel, matrixStats, CompQuadForm, RcppNumerical, doParallel, foreach, ggplot2, randomForest, rpart, statmod, viridisLite, survey, cowplot
Published: 2021-09-24
Author: Marine Gauthier [aut, cre], Denis Agniel [aut], Boris P. Hejblum [aut]
Maintainer: Marine Gauthier <marine.gauthier at u-bordeaux.fr>
BugReports: https://github.com/mgauth/ccdf/issues
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ccdf results

Downloads:

Reference manual: ccdf.pdf
Package source: ccdf_1.1.4.tar.gz
Windows binaries: r-devel: ccdf_1.1.4.zip, r-release: ccdf_1.1.4.zip, r-oldrel: ccdf_1.1.4.zip
macOS binaries: r-release (arm64): ccdf_1.1.4.tgz, r-release (x86_64): ccdf_1.1.4.tgz, r-oldrel: ccdf_1.1.4.tgz

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