Package: twosigma 1.0.2
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>.
Authors:
twosigma_1.0.2.tar.gz
twosigma_1.0.2.zip(r-4.5)twosigma_1.0.2.zip(r-4.4)twosigma_1.0.2.zip(r-4.3)
twosigma_1.0.2.tgz(r-4.4-any)twosigma_1.0.2.tgz(r-4.3-any)
twosigma_1.0.2.tar.gz(r-4.5-noble)twosigma_1.0.2.tar.gz(r-4.4-noble)
twosigma_1.0.2.tgz(r-4.4-emscripten)twosigma_1.0.2.tgz(r-4.3-emscripten)
twosigma.pdf |twosigma.html✨
twosigma/json (API)
NEWS
# Install 'twosigma' in R: |
install.packages('twosigma', repos = c('https://edvanburen.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/edvanburen/twosigma/issues
Last updated 1 years agofrom:14b8f3edf9. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win | NOTE | Oct 30 2024 |
R-4.5-linux | NOTE | Oct 30 2024 |
R-4.4-win | NOTE | Oct 30 2024 |
R-4.4-mac | NOTE | Oct 30 2024 |
R-4.3-win | OK | Oct 30 2024 |
R-4.3-mac | OK | Oct 30 2024 |
Exports:adhoc.twosigmalr.twosigmalr.twosigma_customsimulate_zero_inflated_nb_random_effect_datatest.vc.twosigmatwosigmatwosigma_customtwosigmag
Dependencies:bootcodetoolsdoParallelforeachglmmTMBiteratorslatticelme4MASSMatrixmgcvminqamultcompmvtnormnlmenloptrnumDerivpbapplypsclrbibutilsRcppRcppEigenRdpackreformulassandwichsurvivalTH.dataTMBzoo