scAnnotatR

DOI:10.18129/B9.bioc.scAnnotatR

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

Bioconductor version: Release (3.16)

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], Johannes Griss [cre]

Maintainer: Johannes Griss

Installation

To install this package, start R (version "4.2") and enter:

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

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("scAnnotatR")

HTML	R Script	1. Introduction to scAnnotatR
HTML	R Script	2. Training basic model
HTML	R Script	3. Training child model
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	Classification,GeneExpression,SingleCell,Software,SupportVectorMachine,Transcriptomics
Version	1.4.0
In Bioconductor since	BioC 3.14 (R-4.1) (1 year)
License	MIT + fileLICENSE
Depends	R (>= 4.1),Seurat,SingleCellExperiment,SummarizedExperiment
Imports	dplyr,ggplot2,caret,ROCR,pROC,data.tree, methods, stats,e1071,ape,kernlab,AnnotationHub, utils
LinkingTo
Suggests	knitr,rmarkdown,scRNAseq,testthat
SystemRequirements
Enhances
URL	https://github.com/grisslab/scAnnotatR
BugReports	https://github.com/grisslab/scAnnotatR/issues/new
Depends On Me
Imports Me
Suggests Me	scAnnotatR.models
Links To Me
Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package	scAnnotatR_1.4.0.tar.gz
Windows Binary	scAnnotatR_1.4.0.zip
macOS Binary (x86_64)	scAnnotatR_1.4.0.tgz
macOS Binary (arm64)	scAnnotatR_1.4.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/scAnnotatR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/scAnnotatR
Bioc Package Browser	https://code.bioconductor.org/browse/scAnnotatR/
Package Short Url	//www.andersvercelli.com/packages/scAnnotatR/
Package Downloads Report	Download Stats