Package: scDDboost Type: Package Title: A compositional model to assess expression changes from single-cell rna-seq data Version: 1.15.0 Date: 2018-10-31 Authors@R: c(person("Xiuyu","Ma",email="watsonforfun@gmail.com",role = c("cre", "aut")),person(given = "Michael A.",family = "Newton", email="newton@stat.wisc.edu",role = "ctb")) 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, methods biocViews: SingleCell, Software, Clustering, Sequencing, GeneExpression, DifferentialExpression, Bayesian Depends: R (>= 4.2), ggplot2 LinkingTo: Rcpp, RcppEigen, BH Suggests: knitr, rmarkdown, BiocStyle, testthat SystemRequirements: c++14 Roxygen: list(wrap=FALSE) RoxygenNote: 7.1.2 VignetteBuilder: knitr BugReports: https://github.com/wiscstatman/scDDboost/issues URL: https://github.com/wiscstatman/scDDboost Config/pak/sysreqs: cmake make libuv1-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:58:29 UTC RemoteUrl: https://github.com/bioc/scDDboost RemoteRef: HEAD RemoteSha: 37a401676a1ac51ec0776031432b033b6fd94886 NeedsCompilation: yes Packaged: 2026-07-02 07:14:23 UTC; root Author: Xiuyu Ma [cre, aut], Michael A. Newton [ctb] Maintainer: Xiuyu Ma