chevreulPlot 1.3.0
chevreulPlotR is an open-source statistical environment which can be easily modified
to enhance its functionality via packages. chevreulPlot is a R
package available via the Bioconductor repository
for packages. R can be installed on any operating system from
CRAN after which you can install
chevreulPlot by using the following commands in your R session:
if (!requireNamespace("BiocManager", quietly = TRUE)) {
install.packages("BiocManager")
}
BiocManager::install("chevreulPlot")
The chevreulPlot package is designed for single-cell RNA sequencing
data. The functions included within this package are derived from other
packages that have implemented the infrastructure needed for RNA-seq data
processing and analysis. Packages that have been instrumental in the
development of chevreulPlot include,
Biocpkg("SummarizedExperiment") and Biocpkg("scater").
R and Bioconductor have a steep learning curve so it is critical to
learn where to ask for help. The
Bioconductor support site is the main
resource for getting help: remember to use the chevreulPlot tag and check
the older posts.
chevreulPlotThe chevreulPlot package contains functions to preprocess, cluster, visualize, and
perform other analyses on scRNA-seq data. It also contains a shiny app for easy
visualization and analysis of scRNA data.
chvereul uses SingelCellExperiment (SCE) object type
(from SingleCellExperiment)
to store expression and other metadata from single-cell experiments.
This package features functions capable of:
library("chevreulPlot")
# Load the data
data("small_example_dataset")sessionInfo()
#> R version 4.6.0 RC (2026-04-17 r89917)
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#> [3] scater_1.39.4 ggplot2_4.0.2
#> [5] scuttle_1.21.6 SingleCellExperiment_1.33.2
#> [7] SummarizedExperiment_1.41.1 Biobase_2.71.0
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