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peco

A Supervised Approach for **P**r**e**dicting **c**ell Cycle Pr**o**gression using scRNA-seq data

Bioconductor version: 3.24 · Package version: 1.25.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

Our approach provides a way to assign continuous cell cycle phase using scRNA-seq data, and consequently, allows to identify cyclic trend of gene expression levels along the cell cycle. This package provides method and training data, which includes scRNA-seq data collected from 6 individual cell lines of induced pluripotent stem cells (iPSCs), and also continuous cell cycle phase derived from FUCCI fluorescence imaging data.

DOI: 10.18129/B9.bioc.peco

Installation

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

BiocManager::install("peco")

Details

MaintainerChiaowen Joyce Hsiao <joyce.hsiao1@gmail.com>
AuthorChiaowen Joyce Hsiao [aut, cre], Matthew Stephens [aut], John Blischak [ctb], Peter Carbonetto [ctb]
LicenseGPL (>= 3)
URLhttps://github.com/jhsiao999/peco
Bug Reportshttps://github.com/jhsiao999/peco/issues
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsClassification, GeneExpression, RNASeq, Sequencing, SingleCell, Software, StatisticalMethod, Transcriptomics, Visualization
Package Short Url https://bioconductor.org/packages/peco/

Citation

From within R, enter citation("peco"):

Chiaowen Joyce Hsiao, Matthew Stephens. peco: A Supervised Approach for **P**r**e**dicting **c**ell Cycle Pr**o**gression using scRNA-seq data. doi:10.18129/B9.bioc.peco, R package version 1.25.0, https://bioconductor.org/packages/peco.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagepeco_1.25.0.tar.gz
Windows binary (x86_64)peco_1.25.0.zip
macOS binary (arm64)peco_1.25.0.tgz
macOS binary (x86_64)peco_1.25.0.tgz
Dependencies

Depends: R (>= 3.5.0)

Imports: assertthat, circular, conicfit, doParallel, foreach, genlasso (>= 1.4), graphics, methods, parallel, scater, SingleCellExperiment, SummarizedExperiment, stats, utils

Suggests: knitr, rmarkdown