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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.2 |
rolling linux/jammy R-4.5 | twosigma_1.0.2.tar.gz |
591.7 KiB |
1.0.2 |
rolling linux/noble R-4.5 | twosigma_1.0.2.tar.gz |
591.7 KiB |
1.0.2 |
rolling source/ R- | twosigma_1.0.2.tar.gz |
488.0 KiB |
1.0.2 |
latest linux/jammy R-4.5 | twosigma_1.0.2.tar.gz |
591.7 KiB |
1.0.2 |
latest linux/noble R-4.5 | twosigma_1.0.2.tar.gz |
591.7 KiB |
1.0.2 |
latest source/ R- | twosigma_1.0.2.tar.gz |
488.0 KiB |
1.0.2 |
2026-04-26 source/ R- | twosigma_1.0.2.tar.gz |
488.0 KiB |
1.0.2 |
2026-04-23 source/ R- | twosigma_1.0.2.tar.gz |
488.0 KiB |
1.0.2 |
2026-04-09 windows/windows R-4.5 | twosigma_1.0.2.zip |
594.8 KiB |
1.0.2 |
2025-04-20 source/ R- | twosigma_1.0.2.tar.gz |
488.0 KiB |