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SingleCellStat

A Toolkit for Statistical Analysis of Single-Cell Omics Data

v0.3.1 · May 13, 2025 · GPL-3

Description

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>.

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r-devel-windows-x86_64 OK
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dependencies in R code

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  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘vegan’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘vegan’
  All declared Imports should be used.

Dependency Network

Dependencies Reverse dependencies matrixStats Matrix vegan SingleCellStat

Version History

1 tracked
new 0.3.1 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN May 13, 2025. Releases before tracking aren’t shown.