scAnnotatR.models
Pretrained models for scAnnotatR package
Bioconductor version: Release (3.19)
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 (from within R, enter
citation("scAnnotatR.models")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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 |