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
| Maintainer | Yingxin Lin <yingxin.lin@sydney.edu.au> |
| Author | Yingxin Lin |
| License | GPL-3 |
| Bug Reports | https://github.com/SydneyBioX/scClassify/issues |
| Downloads rank | 549 |
| Source branch | RELEASE_3_23 |
| biocViews | Classification, GeneExpression, SingleCell, Software |
Documentation
Download
Follow the 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 (arm64) | scClassify_1.24.0.tgz |
| macOS binary (x86_64) | scClassify_1.24.0.tgz |