twosigma: DE Analysis for Single-Cell RNA-Sequencing Data

Implements the TWO-Component Single Cell Model-Based Association Method (TWO-SIGMA) for gene-level differential expression (DE) analysis and DE-based gene set testing of single-cell RNA-sequencing datasets. See Van Buren et al. (2020) <doi:10.1002/gepi.22361> and Van Buren et al. (2021) <doi:10.1101/2021.01.24.427979>.

Version: 1.0.2
Imports: multcomp (≥ 1.4-13), glmmTMB, methods, pscl (≥ 1.5.5), pbapply (≥ 1.4.0), parallel (≥ 3.6.3), doParallel (≥ 1.0.15)
Suggests: testthat
Published: 2021-12-13
DOI: 10.32614/CRAN.package.twosigma
Author: Eric Van Buren [aut, cre], Yun Li [aut], Di Wu [aut], Ming Hu [aut]
Maintainer: Eric Van Buren <edvanburen at>
License: AGPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: twosigma results


Reference manual: twosigma.pdf


Package source: twosigma_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): twosigma_1.0.2.tgz, r-oldrel (arm64): twosigma_1.0.2.tgz, r-release (x86_64): twosigma_1.0.2.tgz, r-oldrel (x86_64): twosigma_1.0.2.tgz


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