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.
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")
LRcellTypeMarkers: Marker gene information for LRcell R Bioconductor package using Bioconductor’s ExperimentHub | ||
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