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peco

This is the released version of peco; for the devel version, see peco.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11

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


Bioconductor version: Release (3.23)

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.

Author: Chiaowen Joyce Hsiao [aut, cre], Matthew Stephens [aut], John Blischak [ctb], Peter Carbonetto [ctb]

Maintainer: Chiaowen Joyce Hsiao <joyce.hsiao1 at gmail.com>

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 1.24.0, https://bioconductor.org/packages/peco.

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

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("peco")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("peco")
Predicting cell cycle phase using peco HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Classification, GeneExpression, RNASeq, Sequencing, SingleCell, Software, StatisticalMethod, Transcriptomics, Visualization
Version1.24.0
In Bioconductor sinceBioC 3.11 (R-4.0) (6.5 years)
License GPL (>= 3)
Depends R (>= 3.5.0)
Imports assertthat, circular, conicfit, doParallel, foreach, genlasso (>= 1.4), graphics, methods, parallel, scater, SingleCellExperiment, SummarizedExperiment, stats, utils
System Requirements
URLhttps://github.com/jhsiao999/peco
Bug Reportshttps://github.com/jhsiao999/peco/issues
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package peco_1.24.0.tar.gz
Windows Binary (x86_64) peco_1.24.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) peco_1.24.0.tgz
macOS Binary (sonoma-arm64) peco_1.24.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/peco
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/peco
Package Short Url https://bioconductor.org/packages/peco/
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