Bioconductor – LRcellTypeMarkers (development version)

DOI: 10.18129/B9.bioc.LRcellTypeMarkers  

 

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

Marker gene information for LRcell R Bioconductor package

Bioconductor version: Development (3.14)

This is an external ExperimentData package for LRcell. This data package contains the gene enrichment scores calculated from scRNA-seq dataset which indicates the gene enrichment of each cell type in certain brain region. LRcell package is used to identify specific sub-cell types that drives the changes observed in a bulk RNA-seq differential gene expression experiment. For more details, please visit: github.com/marvinquiet/LRcell.

Author: Wenjing Ma [cre, aut]

Maintainer: Wenjing Ma <wenjing.ma at emory.edu>

Citation (from within R,
enter citation("LRcellTypeMarkers")):

Installation

To install this package, start R (version
“4.1”) and enter:

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

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

BiocManager::install("LRcellTypeMarkers")

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("LRcellTypeMarkers")

 

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R Script

LRcellTypeMarkers: Marker gene information for LRcell R Bioconductor package using Bioconductor’s ExperimentHub
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews ExperimentData, ExperimentHub, ExpressionData, PackageTypeData, RNASeqData, SingleCellData
Version 1.1.1
License MIT + file LICENSE
Depends R (>= 4.1)
Imports ExperimentHub
LinkingTo
Suggests LRcell, BiocStyle, knitr, rmarkdown, roxygen2, testthat
SystemRequirements
Enhances
URL
BugReports github.com/marvinquiet/LRcellTypeMarkers/issues
Depends On Me
Imports Me
Suggests Me LRcell
Links To Me
Build Report  

Package Archives

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


Read more here: Source link