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Bioconductor - scAnnotatR

scAnnotatR

This is the released version of scAnnotatR; for the devel version, see scAnnotatR.

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

Bioconductor version: Release (3.21)

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

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

Citation (from within R, enter citation("scAnnotatR")): Installation

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


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

BiocManager::install("scAnnotatR")

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")
Details biocViews Classification, GeneExpression, SingleCell, Software, SupportVectorMachine, Transcriptomics Version 1.14.0 In Bioconductor since BioC 3.14 (R-4.1) (3.5 years) License MIT + file LICENSE Depends R (>= 4.1), Seurat, SingleCellExperiment, SummarizedExperiment Imports dplyr, ggplot2, caret, ROCR, pROC, data.tree, methods, stats, e1071, ape, kernlab, AnnotationHub, utils System Requirements URL https://github.com/grisslab/scAnnotatR Bug Reports https://github.com/grisslab/scAnnotatR/issues/new See More Package Archives

Follow Installation instructions to use this package in your R session.


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