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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 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 |
Reference manual: | twosigma.pdf |
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-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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.