Package: SDAMS
Type: Package
Title: Differential Abundant Analysis for Metabolomics, Proteomics and
        single-cell RNA sequencing Data
Version: 1.10.0
Date: 2020-09-15
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 as well as single cell RNA sequencing data. 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, SingleCell
git_url: https://git.bioconductor.org/packages/SDAMS
git_branch: RELEASE_3_12
git_last_commit: 6d0f475
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-27
Packaged: 2020-10-28 04:15:43 UTC; biocbuild
Built: R 4.0.3; ; 2020-10-28 15:16:15 UTC; windows
