Package: ALDEx2
Type: Package
Title: Analysis Of Differential Abundance Taking Sample Variation Into
        Account
Version: 1.8.0
Date: 2016-07-27
Author: Greg Gloor, Ruth Grace Wong, Andrew Fernandes, Arianne Albert, Matt Links,
    Jia Rong Wu
Maintainer: Greg Gloor <ggloor@uwo.ca>
Depends: methods
Imports: S4Vectors, IRanges, GenomicRanges, SummarizedExperiment,
        BiocParallel
biocViews: DifferentialExpression, RNASeq, DNASeq, ChIPSeq,
        GeneExpression, Bayesian, Sequencing, Software, Microbiome,
        Metagenomics
Description: A differential abundance analysis for the comparison of two or more
    conditions. For example, single-organism and meta-RNA-seq high-throughput
    sequencing assays, or of selected and unselected values from in-vitro
    sequence selections. Uses a Dirichlet-multinomial model to infer abundance
    from counts, that has been optimized for three or more experimental
    replicates. Infers sampling variation and calculates the expected false
    discovery rate given the biological and sampling variation using the Wilcox
    rank test or Welches t-test (aldex.ttest) or the glm and Kruskal Wallis
    tests (aldex.glm). Reports both P and fdr values calculated by the
    Benjamini Hochberg correction.
License: file LICENSE
NeedsCompilation: no
Packaged: 2017-04-25 00:47:36 UTC; biocbuild
Built: R 3.4.0; ; 2017-04-25 02:12:32 UTC; windows
