chevreulPlot 1.5.0
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 Patched (2026-05-01 r89994)
#> Platform: aarch64-apple-darwin23
#> Running under: macOS Tahoe 26.3.1
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#> BLAS: /Library/Frameworks/R.framework/Versions/4.6/Resources/lib/libRblas.0.dylib
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#> attached base packages:
#> [1] stats4 stats graphics grDevices utils datasets methods
#> [8] base
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#> other attached packages:
#> [1] chevreulPlot_1.5.0 chevreulProcess_1.5.0
#> [3] scater_1.41.1 ggplot2_4.0.3
#> [5] scuttle_1.23.1 SingleCellExperiment_1.35.1
#> [7] SummarizedExperiment_1.43.0 Biobase_2.73.1
#> [9] GenomicRanges_1.65.0 Seqinfo_1.3.0
#> [11] IRanges_2.47.1 S4Vectors_0.51.2
#> [13] BiocGenerics_0.59.2 generics_0.1.4
#> [15] MatrixGenerics_1.25.0 matrixStats_1.5.0
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