Differential gene expression analysis based on the negative
binomial distribution
c(
    person("Michael", "Love", email="michaelisaiahlove@gmail.com", role = c("aut","cre")),
    person("Constantin", "Ahlmann-Eltze", role = c("ctb")),
    person("Simon", "Anders", role = c("aut","ctb")),
    person("Wolfgang", "Huber", role = c("aut","ctb")))
Estimate variance-mean dependence in count data from
    high-throughput sequencing assays and test for differential
    expression based on a model using the negative binomial
    distribution.
BiocGenerics (>= 0.7.5), Biobase, BiocParallel, genefilter,
methods, stats4, locfit, geneplotter, ggplot2, Rcpp (>= 0.11.0)
S4Vectors (>= 0.23.18), IRanges, GenomicRanges,
SummarizedExperiment (>= 1.1.6)
testthat, knitr, rmarkdown, vsn, pheatmap, RColorBrewer,
apeglm, ashr, tximport, tximeta, tximportData, readr, pbapply,
airway, pasilla (>= 0.2.10)
Sequencing, RNASeq, ChIPSeq, GeneExpression, Transcription,
Normalization, DifferentialExpression, Bayesian, Regression,
PrincipalComponent, Clustering, ImmunoOncology
Michael Love [aut, cre],
  Constantin Ahlmann-Eltze [ctb],
  Simon Anders [aut, ctb],
  Wolfgang Huber [aut, ctb]