This is the released version of chevreulShiny; for the devel version, see chevreulShiny.
Tools for managing SingleCellExperiment objects as projectsBioconductor version: Release (3.21)
Tools for managing SingleCellExperiment objects as projects. Includes functions for analysis and visualization of single-cell data. Also included is a shiny app for visualization of pre-processed scRNA 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, entercitation("chevreulShiny")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("chevreulShiny")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("chevreulShiny")
Details biocViews Coverage, DataImport, DimensionReduction, GeneExpression, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, SingleCell, Software, Transcription, Transcriptomics, Visualization Version 1.0.0 In Bioconductor since BioC 3.21 (R-4.5) (< 6 months) License MIT + file LICENSE Depends R (>= 4.5.0), SingleCellExperiment, shiny (>= 1.6.0), shinydashboard, chevreulProcess, chevreulPlot Imports alabaster.base, clustree, ComplexHeatmap, DataEditR (>= 0.0.9), DBI, dplyr, DT, EnhancedVolcano, fs, future, ggplot2, ggplotify, grDevices, methods, patchwork, plotly, purrr, rappdirs, readr, RSQLite, S4Vectors, scales, shinyFiles, shinyhelper, shinyjs, shinyWidgets, stats, stringr, tibble, tidyr, tidyselect, utils, waiter, wiggleplotr System Requirements URL https://github.com/whtns/chevreulShiny https://whtns.github.io/chevreulShiny/ Bug Reports https://github.com/cobriniklab/chevreulShiny/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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