peco
A Supervised Approach for **P**r**e**dicting **c**ell Cycle Pr**o**gression using scRNA-seq data
Bioconductor version: 3.23 · Package version: 1.24.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("peco") Details
| Maintainer | Chiaowen Joyce Hsiao <joyce.hsiao1@gmail.com> |
| Author | Chiaowen Joyce Hsiao [aut, cre], Matthew Stephens [aut], John Blischak [ctb], Peter Carbonetto [ctb] |
| License | GPL (>= 3) |
| URL | https://github.com/jhsiao999/peco |
| Bug Reports | https://github.com/jhsiao999/peco/issues |
| Downloads rank | 429 |
| Source branch | RELEASE_3_23 |
| biocViews | Classification, GeneExpression, RNASeq, Sequencing, SingleCell, Software, StatisticalMethod, Transcriptomics, Visualization |
Documentation
Download
Follow the 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 |
| macOS binary (arm64) | peco_1.24.0.tgz |
| macOS binary (x86_64) | peco_1.24.0.tgz |
Dependencies
Depends: R (>= 3.5.0)
Imports: assertthat, circular, conicfit, doParallel, foreach, genlasso (>= 1.4), graphics, methods, parallel, scater, SingleCellExperiment, SummarizedExperiment, stats, utils