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:Eric Van Buren [aut, cre], Yun Li [aut], Di Wu [aut], Ming Hu [aut]

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'))

Peer review:

Bug tracker:https://github.com/edvanburen/twosigma/issues

On CRAN:

3.60 score 8 stars 3 scripts 150 downloads 8 exports 29 dependencies

Last updated 1 years agofrom:14b8f3edf9. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 30 2024
R-4.3-winOKOct 30 2024
R-4.3-macOKOct 30 2024

Exports:adhoc.twosigmalr.twosigmalr.twosigma_customsimulate_zero_inflated_nb_random_effect_datatest.vc.twosigmatwosigmatwosigma_customtwosigmag

Dependencies:bootcodetoolsdoParallelforeachglmmTMBiteratorslatticelme4MASSMatrixmgcvminqamultcompmvtnormnlmenloptrnumDerivpbapplypsclrbibutilsRcppRcppEigenRdpackreformulassandwichsurvivalTH.dataTMBzoo