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scClassify

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11

scClassify: single-cell Hierarchical Classification


Bioconductor version: Release (3.23)

scClassify is a multiscale classification framework for single-cell RNA-seq data based on ensemble learning and cell type hierarchies, enabling sample size estimation required for accurate cell type classification and joint classification of cells using multiple references.

Author: Yingxin Lin

Maintainer: Yingxin Lin <yingxin.lin at sydney.edu.au>

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

Yingxin Lin. scClassify: scClassify: single-cell Hierarchical Classification. doi:10.18129/B9.bioc.scClassify, R package version 1.24.0, https://bioconductor.org/packages/scClassify.

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("scClassify")

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("scClassify")
pretrainedModel HTML R Script
scClassify HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Classification, GeneExpression, SingleCell, Software
Version1.24.0
In Bioconductor sinceBioC 3.11 (R-4.0) (6.5 years)
License GPL-3
Depends R (>= 4.0)
Imports S4Vectors, limma, ggraph, igraph, methods, cluster, minpack.lm, mixtools, BiocParallel, proxy, proxyC, Matrix, ggplot2, hopach, diptest, mgcv, stats, graphics, statmod, Cepo
System Requirements
URL
Bug Reportshttps://github.com/SydneyBioX/scClassify/issues
See More
Suggests knitr, rmarkdown, BiocStyle, pkgdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package scClassify_1.24.0.tar.gz
Windows Binary (x86_64) scClassify_1.24.0.zip
macOS Binary (big-sur-x86_64) scClassify_1.24.0.tgz
macOS Binary (sonoma-arm64) scClassify_1.24.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/scClassify
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scClassify
Package Short Url https://bioconductor.org/packages/scClassify/
Package Downloads ReportDownload Stats