bioc-issue-bot
commented
5 years ago Hi @koenvandenberge
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: tradeSeq
Type: Package
Title: trajectory-based differential expression analysis for sequencing data
Date: 2019-03-15
Version: 0.9.0
Authors@R: c(person("Koen", "Van den Berge", role = c("aut"),
email = "koen.vandenberge@ugent.be"),
person("Hector", "Roux de Bézieux", role = c("aut", "cre"),
email = "hector.rouxdebezieux@berkeley.edu",
comment = c(ORCID = "0000-0002-1489-8339")),
person("Kelly","Street", role = "ctb"))
Description: tradeSeq provides a flexible method for finding genes that are differentially expressed along one or multiple trajectories, using a variety of tests suited to answer many questions of interest.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://statomics.github.io/tradeSeq/index.html
Depends: R (>= 3.5)
Collate:
'utils.R'
'core.R'
'data.R'
RoxygenNote: 6.1.1
Imports: mgcv,
edgeR,
SingleCellExperiment,
SummarizedExperiment,
slingshot,
magrittr,
plyr,
RColorBrewer,
clusterExperiment,
BiocParallel
Suggests:
knitr,
rmarkdown,
cowplot,
ggplot2,
dplyr,
tidyr
VignetteBuilder: knitr
biocViews:
Clustering,
Regression,
TimeCourse,
DifferentialExpression,
GeneExpression,
RNASeq,
Sequencing,
Software,
SingleCell,
Transcriptomics,
MultipleComparison,
Visualization
BugReports: https://github.com/statOmics/tradeSeq/issues
Kayla-Morrell
koenvandenberge
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