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scAnnotatR

This is thedevelopment version of scAnnotatR; for the stable release version, seescAnnotatR.

Pretrained learning models for cell type prediction on single cell RNA-sequencing data

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DOI: 10.18129/B9.bioc.scAnnotatR


Bioconductor version: Development (3.23)

The package comprises a set of pretrained machine learning models to predict basic immune cell types. This enables all users to quickly get a first annotation of the cell types present in their dataset without requiring prior knowledge. scAnnotatR also allows users to train their own models to predict new cell types based on specific research needs.

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")):

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")# The following initializes usage of Bioc develBiocManager::install(version='devel')BiocManager::install("scAnnotatR")

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")
1. Introduction to scAnnotatRHTMLR Script
2. Training basic modelHTMLR Script
3. Training child modelHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClassification,GeneExpression,SingleCell,Software,SupportVectorMachine,Transcriptomics
Version1.17.0
In Bioconductor sinceBioC 3.14 (R-4.1) (4 years)
LicenseMIT + fileLICENSE
DependsR (>= 4.1),Seurat,SingleCellExperiment,SummarizedExperiment
Importsdplyr,ggplot2,caret,ROCR,pROC,data.tree, methods, stats,e1071,ape,kernlab,AnnotationHub, utils
System Requirements
URLhttps://github.com/grisslab/scAnnotatR
Bug Reportshttps://github.com/grisslab/scAnnotatR/issues/new
See More
Suggestsknitr,rmarkdown,scRNAseq,testthat
Linking To
Enhances
Depends On Me
Imports Me
Suggests MescAnnotatR.models
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagescAnnotatR_1.17.0.tar.gz
Windows Binary (x86_64) scAnnotatR_1.17.0.zip
macOS Binary (x86_64)scAnnotatR_1.17.0.tgz
macOS Binary (arm64)scAnnotatR_1.17.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/scAnnotatR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scAnnotatR
Bioc Package Browserhttps://code.bioconductor.org/browse/scAnnotatR/
Package Short Urlhttps://bioconductor.org/packages/scAnnotatR/
Package Downloads ReportDownload Stats

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