Package: SDAMS
Type: Package
Title: Differential Abundant/Expression Analysis for Metabolomics,
        Proteomics and single-cell RNA sequencing Data
Version: 1.32.0
Date: 2023-07-21
Author: Yuntong Li <liyuntong0704@gmail.com>, Chi Wang <chi.wang@uky.edu>, 
     Li Chen <lichenuky@uky.edu>
Maintainer: Yuntong Li <liyuntong0704@gmail.com>
Depends: R(>= 3.5), SummarizedExperiment
Suggests: testthat
Imports: trust, qvalue, methods, stats, utils
Description: This Package utilizes a Semi-parametric Differential 
     Abundance/expression 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_23
git_last_commit: 88379ac
git_last_commit_date: 2026-04-28
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28
Packaged: 2026-04-28 23:29:18 UTC; biocbuild
Built: R 4.6.0; ; 2026-04-29 05:00:24 UTC; unix
