scReClassify
This is the released version of scReClassify; for the devel version, see scReClassify.
All Bioconductor versions of scReClassify
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
Bioconductor version: 3.23 · Package version: 1.18.0
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] 
, Taiyun Kim [aut, cre]
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.
Details
| Version | 1.18.0 |
| License | GPL-3 + file LICENSE |
| URL | https://github.com/SydneyBioX/scReClassify http://www.bioconductor.org/packages/release/bioc/html/scReClassify.html |
| Bug Reports | https://github.com/SydneyBioX/scReClassify/issues |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.14 (R-4.1) (4 years) |
| Downloads rank | 1454 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Classification, SingleCell, Software, SupportVectorMachine, Transcriptomics |
| Package Short Url | https://bioconductor.org/packages/scReClassify/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scReClassify")| An introduction to scReClassify package | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | scReClassify_1.18.0.tar.gz |
| Windows binary (x86_64) | scReClassify_1.18.0.zip |
| macOS binary (arm64) | scReClassify_1.18.0.tgz |
| macOS binary (x86_64) | scReClassify_1.18.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/scReClassify |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scReClassify |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.1)
Imports: randomForest, e1071, stats, SummarizedExperiment, SingleCellExperiment, methods
Suggests: testthat, knitr, BiocStyle, rmarkdown, DT, mclust, dplyr