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 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 |
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