This is the development version of celaref; for the stable release version, see celaref.
Single-cell RNAseq cell cluster labelling by referenceBioconductor version: Development (3.22)
After the clustering step of a single-cell RNAseq experiment, this package aims to suggest labels/cell types for the clusters, on the basis of similarity to a reference dataset. It requires a table of read counts per cell per gene, and a list of the cells belonging to each of the clusters, (for both test and reference data).
Author: Sarah Williams [aut, cre]
Maintainer: Sarah Williams <sarah.williams1 at monash.edu>
Citation (from within R, entercitation("celaref")
): 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("celaref")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation Details biocViews SingleCell, Software Version 1.27.0 In Bioconductor since BioC 3.8 (R-3.5) (6.5 years) License GPL-3 Depends R (>= 3.5.0), SummarizedExperiment Imports MAST, ggplot2, Matrix, dplyr, magrittr, stats, utils, rlang, BiocGenerics, S4Vectors, readr, tibble, DelayedArray System Requirements URL See More Package ArchivesFollow 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/celaref Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/celaref Package Short Url https://bioconductor.org/packages/celaref/ Package Downloads Report Download StatsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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