chevreulPlot

This is the development version of chevreulPlot; to use it, please install the devel version of Bioconductor.

Plots used in the chevreulPlot package


Bioconductor version: Development (3.21)

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: ), 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

Reference Manual PDF

Details

biocViews Coverage, DataImport, DimensionReduction, GeneExpression, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, SingleCell, Software, Transcription, Transcriptomics, Visualization
Version 0.99.30
In Bioconductor since BioC 3.21 (R-4.5)
License MIT + file LICENSE
Depends R (>= 4.5.0), SingleCellExperiment, chevreulProcess
Imports base, chevreuldata, cluster, 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
Suggests BiocStyle, knitr, RefManageR, rmarkdown, testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/chevreulPlot
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/chevreulPlot
Package Short Url https://bioconductor.org/packages/chevreulPlot/
Package Downloads Report Download Stats