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Bioconductor - scClassify (development version)

scClassify

This is the development version of scClassify; for the stable release version, see scClassify.

scClassify: single-cell Hierarchical Classification

Bioconductor version: Development (3.22)

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")): Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")
Details biocViews Classification, GeneExpression, SingleCell, Software Version 1.21.0 In Bioconductor since BioC 3.11 (R-4.0) (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 Reports https://github.com/SydneyBioX/scClassify/issues See More Package Archives

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

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