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
Author: Eric Van Buren [aut, cre], Yun Li [aut], Di Wu [aut], Ming Hu [aut]
Maintainer: Eric Van Buren <edvanburen at gmail.com>
BugReports: https://github.com/edvanburen/twosigma/issues
License: AGPL-3
URL: https://github.com/edvanburen/twosigma
NeedsCompilation: no
Materials: README NEWS
CRAN checks: twosigma results

Documentation:

Reference manual: twosigma.pdf

Downloads:

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

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