bioc-issue-bot
commented
3 years ago Hi @xiuyuma
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: scDDboost
Type: Package
Title: A compositional model to assess expression changes from single-cell rna-seq data
Version: 0.99.0
Date: 2017-11-11
Author: Xiuyu Ma
Maintainer: Xiuyu Ma
<watsonforfun@gmail.com>
Description: scDDboost is an R package to analyze changes in the distribution of single-cell expression data between two experimental conditions. Compared to other methods that assess differential expression, scDDboost benefits uniquely from information conveyed by the clustering of cells into cellular subtypes. Through a novel empirical Bayesian formulation it calculates gene-specific posterior probabilities that the marginal expression distribution is the same (or different) between the two conditions. The implementation in scDDboost treats gene-level expression data within each condition as a mixture of negative binomial distributions.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.11), RcppEigen (>= 0.3.2.9.0),EBSeq, BiocParallel, mclust, SingleCellExperiment, cluster, Oscope, SummarizedExperiment, stats
biocViews: SingleCell, Software, Clustering, Sequencing, GeneExpression
Depends:
LinkingTo: Rcpp, RcppEigen, BH
Suggests: knitr, rmarkdown
SystemRequirements: c++11
Roxygen: list(wrap=FALSE)
RoxygenNote: 7.1.1
VignetteBuilder: knitr
jianhong
lshep
xiuyuma
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