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DESCRIPTION
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Encoding: UTF-8
Type: Package
Package: peco
Version: 1.1.21
Date: 2020-11-13
Title: A Supervised Approach for Predicting Cell Cycle Progression Using
Single-Cell RNA-seq Data
Authors@R: c(person("Chiaowen Joyce","Hsiao",email="joyce.hsiao1@gmail.com",
role=c("aut","cre")),
person("Matthew","Stephens",email="stephens999@gmail.com",
role="aut"),
person("John","Blischak",email="jdblischak@gmail.com",role="ctb"),
person("Peter","Carbonetto",email="peter.carbonetto@gmail.com",
role="ctb"))
Description: Our methods provide a way to assign continuous cell cycle
phase using single-cell RNA-seq data, and consequently, allow for
identication cyclic trend of gene expression levels along the cell
cycle. This package provides method and training data, including
single-cell RNA-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. cycle_npreg_insample and cycle_npreg_outsample are the two
main functions in peco. cycle_npreg_insample generates cyclic
trend estimates of gene expression levels using training data, and
cycle_npreg_outsample applies the estimates of
cycle_npreg_insample to another gene expression dataset to infer
an angle or cell cycle phase for each cell.
URL: https://github.com/jhsiao999/peco
BugReports: https://github.com/jhsiao999/peco/issues
License: GPL (>= 3)
Depends: R (>= 2.10)
Imports:
assertthat,
circular,
conicfit,
doParallel,
foreach,
genlasso (>= 1.4),
graphics,
parallel,
scater,
SingleCellExperiment,
SummarizedExperiment,
stats,
utils
Suggests:
knitr,
rmarkdown
biocViews:
Sequencing,
RNASeq,
GeneExpression,
Transcriptomics,
SingleCell,
Software,
StatisticalMethod,
Classification,
Visualization
LazyData: true
NeedsCompilation: no
VignetteBuilder: knitr
RoxygenNote: 7.1.1