scAnnotatR.models
This is the development version of scAnnotatR.models; for the stable release version, see scAnnotatR.models.
Pretrained models for scAnnotatR package
Bioconductor version: Development (3.20)
Pretrained models for scAnnotatR package. These models can be used to automatically classify several (immune) cell types in human scRNA-seq data.
Author: Vy Nguyen [aut] , Johannes Griss [cre]
Maintainer: Johannes Griss <johannes.griss at meduniwien.ac.at>
citation("scAnnotatR.models")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("scAnnotatR.models")
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("scAnnotatR.models")
1. Introduction to scAnnotatR | HTML | R Script |
Reference Manual | ||
LICENSE | Text |
Details
biocViews | AnnotationData, AnnotationHub, FunctionalAnnotation, Homo_sapiens |
Version | 0.99.10 |
License | MIT + file LICENSE |
Depends | R (>= 4.1) |
Imports | |
System Requirements | |
URL |
See More
Suggests | scAnnotatR, knitr |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | scAnnotatR.models_0.99.10.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Package Short Url | https://bioconductor.org/packages/scAnnotatR.models/ |
Package Downloads Report | Download Stats |