Package: ccRemover 1.0.4

Jun Li

ccRemover: Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing Data

Implements a method for identifying and removing the cell-cycle effect from scRNA-Seq data. The description of the method is in Barron M. and Li J. (2016) <doi:10.1038/srep33892>. Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data. Submitted. Different from previous methods, ccRemover implements a mechanism that formally tests whether a component is cell-cycle related or not, and thus while it often thoroughly removes the cell-cycle effect, it preserves other features/signals of interest in the data.

Authors:Jun Li [aut, cre], Martin Barron [aut]

ccRemover_1.0.4.tar.gz
ccRemover_1.0.4.tar.gz(r-4.5-noble)ccRemover_1.0.4.tar.gz(r-4.4-noble)
ccRemover_1.0.4.tgz(r-4.4-emscripten)ccRemover_1.0.4.tgz(r-4.3-emscripten)
ccRemover.pdf |ccRemover.html
ccRemover/json (API)

# Install 'ccRemover' in R:
install.packages('ccRemover', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

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

3.46 score 2 stars 29 scripts 198 downloads 5 mentions 5 exports 0 dependencies

Last updated 7 years agofrom:39249bf6eb. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 18 2024
R-4.5-linuxOKOct 18 2024

Exports:bootstrap_diffccRemovergene_indexerget_diffhello

Dependencies:

Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data - the ccRemover package

Rendered fromccRemover_tutorial.Rmdusingknitr::rmarkdownon Oct 18 2024.

Last update: 2017-07-26
Started: 2017-05-18