bioc-issue-bot
commented
4 years ago Hi @sthawinke
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: SPsimSeq
Title: Semi-parametric simulation tool for bulk and single-cell RNA sequencing data
Version: 0.99.0
Authors@R:
c(person(given = "Alemu Takele",
family = "Assefa",
role = c("aut"),
email = "alemutak@hotmail.com"),
person(given = "Olivier",
family = "Thas",
role = c("ths"),
email = "Olivier.Thas@ugent.be"),
person(given = "Joris",
family = "Meys",
role = c("cre"),
email = "Joris.Meys@ugent.be"),
person(given = "Stijn",
family = "Hawinkel",
role = c("aut"),
email = "stijnhawinkel@hotmail.com"))
Description: SPsimSeq uses a specially designed exponential family for density estimation
to constructs the distribution of gene expression levels from a given real
RNA sequencing data (single-cell or bulk), and subsequently, simulates a new
dataset from the estimated marginal distributions using Gaussian-copulas to
retain the dependence between genes. It allows simulation of multiple groups
and batches with any required sample size and library size.
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://github.com/CenterForStatistics-UGent/SPsimSeq
Imports:
stats,
methods,
SingleCellExperiment,
fitdistrplus,
graphics,
edgeR,
Hmisc,
WGCNA,
limma,
mvtnorm,
phyloseq,
utils
biocViews: GeneExpression, RNASeq, SingleCell, Sequencing, DNASeq
RoxygenNote: 7.1.0
Suggests:
knitr,
rmarkdown,
LSD,
testthat
VignetteBuilder: knitr
Depends: R (>= 3.6)
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