Package: SingleCellStat 0.3.1

Jun Chen

SingleCellStat: A Toolkit for Statistical Analysis of Single-Cell Omics Data

A suite of statistical methods for analysis of single-cell omics data including linear model-based methods for differential abundance analysis for individual level single-cell RNA-seq data. For more details see Zhang, et al. (Submitted to Bioinformatics)<https://github.com/Lujun995/DiSC_Replication_Code>.

Authors:Lujun Zhang [aut], Jun Chen [aut, cre]

SingleCellStat_0.3.1.tar.gz
SingleCellStat_0.3.1.zip(r-4.7-any)SingleCellStat_0.3.1.zip(r-4.6-any)
SingleCellStat_0.3.1.tar.gz(r-4.7-any)SingleCellStat_0.3.1.tar.gz(r-4.6-any)
SingleCellStat_0.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SingleCellStat/json (API)

# Install 'SingleCellStat' in R:
install.packages('SingleCellStat', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • sim_data - Simulated Single-cell Sequencing Dataset

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 1 scripts 232 downloads 1 exports 9 dependencies

Last updated from:1c4b455425. Checks:4 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE156
source / vignettesOK190
linux-releaseNOTE148
windows-develNOTE132
windows-releaseNOTE118
wasm-releaseOK126

Exports:DiSC

Dependencies:clusterlatticeMASSMatrixmatrixStatsmgcvnlmepermutevegan