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scClassify

scClassify: single-cell Hierarchical Classification

Bioconductor version: 3.23 · Package version: 1.24.0

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.

Installation

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

BiocManager::install("scClassify")

Details

MaintainerYingxin Lin <yingxin.lin@sydney.edu.au>
AuthorYingxin Lin
LicenseGPL-3
Bug Reportshttps://github.com/SydneyBioX/scClassify/issues
Downloads rank365
Source branchRELEASE_3_23
biocViewsClassification, GeneExpression, SingleCell, Software

Documentation

Download

Dependencies

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

Suggests: knitr, rmarkdown, BiocStyle, pkgdown