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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>.
Getting started
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Package details |
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| Author | Eric Van Buren [aut, cre], Yun Li [aut], Di Wu [aut], Ming Hu [aut] |
| Maintainer | Eric Van Buren <edvanburen@gmail.com> |
| License | AGPL-3 |
| Version | 1.0.2 |
| URL | https://github.com/edvanburen/twosigma |
| Package repository | View on CRAN |
| Installation |
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