CRAN/E | scAnnotate

scAnnotate

An Automated Cell Type Annotation Tool for Single-Cell RNA-Sequencing Data

Installation

About

An entirely data-driven cell type annotation tools, which requires training data to learn the classifier, but not biological knowledge to make subjective decisions. It consists of three steps: preprocessing training and test data, model fitting on training data, and cell classification on test data. See Xiangling Ji,Danielle Tsao, Kailun Bai, Min Tsao, Li Xing, Xuekui Zhang.(2022)doi:10.1101/2022.02.19.481159 for more details.

doi.org/10.1101/2022.02.19.481159

Key Metrics

Version 0.0.4
R ≥ 4.0.0
Published 2022-08-16 625 days ago
Needs compilation? no
License GPL-3
CRAN checks scAnnotate results

Downloads

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Maintainer

Maintainer

Xuekui Zhang

xuekui@uvic.ca

Authors

Xiangling Ji

aut

Danielle Tsao

aut

Kailun Bai

ctb

Min Tsao

aut

Li Xing

aut

Xuekui Zhang

aut / cre

Material

NEWS
Reference manual
Package source

Vignettes

introduction

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

scAnnotate archive

Depends

R ≥ 4.0.0

Imports

glmnet
stats
MTPS
Seurat ≥ 4.0.5
harmony

Suggests

knitr
testthat ≥ 3.0.0
rmarkdown