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 |
Documentation:
Downloads:
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