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Bioconductor - chevreulPlot (development version)

chevreulPlot

This is the development version of chevreulPlot; for the stable release version, see chevreulPlot.

Plots used in the chevreulPlot package

Bioconductor version: Development (3.22)

Tools for plotting SingleCellExperiment objects in the chevreulPlot package. Includes functions for analysis and visualization of single-cell data. Supported by NIH grants R01CA137124 and R01EY026661 to David Cobrinik.

Author: Kevin Stachelek [aut, cre] ORCID: 0000-0003-2085-695X , Bhavana Bhat [aut]

Maintainer: Kevin Stachelek <kevin.stachelek at gmail.com>

Citation (from within R, enter citation("chevreulPlot")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("chevreulPlot")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("chevreulPlot")
Details biocViews Coverage, DataImport, DimensionReduction, GeneExpression, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, SingleCell, Software, Transcription, Transcriptomics, Visualization Version 1.1.2 In Bioconductor since BioC 3.21 (R-4.5) (< 6 months) License MIT + file LICENSE Depends R (>= 4.5.0), SingleCellExperiment, chevreulProcess Imports base, cluster, clustree, ComplexHeatmap(>= 2.5.4), circlize, dplyr, EnsDb.Hsapiens.v86, forcats, fs, ggplot2, grid, plotly, purrr, S4Vectors, scales, scater, scran, scuttle, stats, stringr, tibble, tidyr, utils, wiggleplotr(>= 1.13.1), tidyselect, patchwork System Requirements URL https://github.com/whtns/chevreulPlot https://whtns.github.io/chevreulPlot/ Bug Reports https://github.com/cobriniklab/chevreulPlot/issues See More Package Archives

Follow Installation instructions to use this package in your R session.

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