CRAN/E | scROSHI

scROSHI

Robust Supervised Hierarchical Identification of Single Cells

Installation

About

Identifying cell types based on expression profiles is a pillar of single cell analysis. 'scROSHI' identifies cell types based on expression profiles of single cell analysis by utilizing previously obtained cell type specific gene sets. It takes into account the hierarchical nature of cell type relationship and does not require training or annotated data. A detailed description of the method can be found at: Prummer, Bertolini, Bosshard, Barkmann, Yates, Boeva, The Tumor Profiler Consortium, Stekhoven, and Singer (2022) doi:10.1101/2022.04.05.487176.

Key Metrics

Version 1.0.0.0
R ≥ 3.60
Published 2023-01-10 480 days ago
Needs compilation? no
License MIT
License File
CRAN checks scROSHI results

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Maintainer

Maintainer

Lars Bosshard

bosshard@nexus.ethz.ch

Authors

Lars Bosshard

aut / cre

Michael Prummer

aut

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.60

Imports

limma
S4Vectors
SingleCellExperiment
stats
SummarizedExperiment
utils
uwot