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scAnnotatR.models

This is thereleased version of scAnnotatR.models; for the devel version, seescAnnotatR.models.

Pretrained models for scAnnotatR package

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DOI: 10.18129/B9.bioc.scAnnotatR.models


Bioconductor version: Release (3.22)

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]ORCID iD ORCID: 0000-0003-3436-3662, Johannes Griss [cre]ORCID iD ORCID: 0000-0003-2206-9511

Maintainer: Johannes Griss <johannes.griss at meduniwien.ac.at>

Citation (from within R, entercitation("scAnnotatR.models")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("scAnnotatR.models")

For older versions of R, please refer to the appropriateBioconductor 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 scAnnotatRHTMLR Script
Reference ManualPDF
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsAnnotationData,AnnotationHub,FunctionalAnnotation,Homo_sapiens
Version0.99.10
LicenseMIT + fileLICENSE
DependsR (>= 4.1)
Imports
System Requirements
URL
See More
SuggestsscAnnotatR,knitr
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagescAnnotatR.models_0.99.10.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Package Short Urlhttps://bioconductor.org/packages/scAnnotatR.models/
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