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-4.7)twosigma_1.0.2.zip(r-4.6)twosigma_1.0.2.zip(r-4.5)
twosigma_1.0.2.tgz(r-4.6-any)twosigma_1.0.2.tgz(r-4.5-any)
twosigma_1.0.2.tar.gz(r-4.7-any)twosigma_1.0.2.tar.gz(r-4.6-any)
twosigma_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:14b8f3edf9. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 206 | ||
| source / vignettes | OK | 191 | ||
| linux-release-x86_64 | NOTE | 133 | ||
| macos-release-arm64 | NOTE | 209 | ||
| macos-oldrel-arm64 | NOTE | 170 | ||
| windows-devel | NOTE | 128 | ||
| windows-release | NOTE | 122 | ||
| windows-oldrel | NOTE | 102 | ||
| wasm-release | OK | 124 |
Exports:adhoc.twosigmalr.twosigmalr.twosigma_customsimulate_zero_inflated_nb_random_effect_datatest.vc.twosigmatwosigmatwosigma_customtwosigmag
Dependencies:backportsbootbroomclicodetoolscolorspacecowplotcpp11DerivdoBydoParalleldplyrfarverforeachforecastfracdiffgenericsggplot2glmmTMBgluegtableisobanditeratorslabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixmgcvmicrobenchmarkminqamodelrmultcompmvtnormnlmenloptrnnetnumDerivpbapplypbkrtestpillarpkgconfigpsclpurrrR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesstringistringrsurvivalTH.datatibbletidyrtidyselecttimeDateTMBurcautf8vctrsviridisLitewithrzoo
