Package: SDAMS
Type: Package
Title: Differential Abundant Analysis for Metabolomics and Proteomics
        Data
Version: 1.7.1
Date: 2020-02-10
Author: Yuntong Li <yuntong.li@uky.edu>, Chi Wang <chi.wang@uky.edu>, 
     Li Chen <lichenuky@uky.edu>
Maintainer: Yuntong Li <yuntong.li@uky.edu>
Depends: R(>= 3.5), SummarizedExperiment
Suggests: testthat
Imports: trust, qvalue, methods, stats, utils
Description: This Package utilizes a Semi-parametric Differential Abundance 
     analysis (SDA) method for metabolomics and proteomics data from mass 
     spectrometry. SDA is able to robustly handle non-normally distributed data 
     and provides a clear quantification of the effect size.
License: GPL
LazyLoad: no
NeedsCompilation: no
biocViews: ImmunoOncology, DifferentialExpression, Metabolomics,
        Proteomics, MassSpectrometry
git_url: https://git.bioconductor.org/packages/SDAMS
git_branch: master
git_last_commit: 48405e5
git_last_commit_date: 2020-02-10
Date/Publication: 2020-02-10
Packaged: 2020-02-11 07:23:17 UTC; biocbuild
Built: R 4.0.0; ; 2020-02-11 17:00:24 UTC; windows
