Package: GeoDiff
Type: Package
Title: Count model based differential expression and normalization on
        GeoMx RNA data
Version: 1.2.0
Authors@R: c(person("Nicole", "Ortogero", email = "nortogero@nanostring.com", role = c("cre")),
             person("Lei", "Yang", email = "lyang@nanostring.com", role = c("aut")), 
             person("Zhi", "Yang", email = "zyang@nanostring.com", role = c("aut")))
Description: A series of statistical models using count generating distributions 
    for background modelling, feature and sample QC, normalization and differential 
    expression analysis on GeoMx RNA data. The application of these methods are 
    demonstrated by example data analysis vignette.
Imports: Matrix, robust, plyr, lme4, Rcpp (>= 1.0.4.6), withr, methods,
        graphics, stats, testthat, GeomxTools, NanoStringNCTools
LinkingTo: Rcpp, RcppArmadillo, roptim
License: MIT + file LICENSE
URL: https://github.com/Nanostring-Biostats/GeoDiff
BugReports: https://github.com/Nanostring-Biostats/GeoDiff
Encoding: UTF-8
Suggests: knitr, rmarkdown, dplyr
VignetteBuilder: knitr
Depends: R (>= 4.1.0), Biobase
RoxygenNote: 7.1.2
biocViews: GeneExpression, DifferentialExpression, Normalization
git_url: https://git.bioconductor.org/packages/GeoDiff
git_branch: RELEASE_3_15
git_last_commit: 1197c97
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: yes
Packaged: 2022-04-26 23:03:50 UTC; biocbuild
Author: Nicole Ortogero [cre],
  Lei Yang [aut],
  Zhi Yang [aut]
Maintainer: Nicole Ortogero <nortogero@nanostring.com>
Built: R 4.2.0; x86_64-w64-mingw32; 2022-04-27 09:33:00 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
