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scReClassify

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

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3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14

scReClassify: post hoc cell type classification of single-cell RNA-seq data

DOI: 10.18129/B9.bioc.scReClassify

Bioconductor version: Release (3.23)

A post hoc cell type classification tool to fine-tune cell type annotations generated by any cell type classification procedure with semi-supervised learning algorithm AdaSampling technique. The current version of scReClassify supports Support Vector Machine and Random Forest as a base classifier.

Author: Pengyi Yang [aut] ORCID: 0000-0003-1098-3138 , Taiyun Kim [aut, cre] ORCID: 0000-0002-5028-836X

Maintainer: Taiyun Kim <taiyun.kim91 at gmail.com>

Citation (from within R, enter citation("scReClassify")):

Pengyi Yang, Taiyun Kim. scReClassify: scReClassify: post hoc cell type classification of single-cell RNA-seq data. doi:10.18129/B9.bioc.scReClassify, R package version 1.18.0, https://bioconductor.org/packages/scReClassify.

Generated from the package metadata; it may differ from the package's own citation.

Installation

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

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

BiocManager::install("scReClassify")

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("scReClassify")

Details

Package Archives

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