Package: SDAMS
Type: Package
Title: Differential Abundant/Expression Analysis for Metabolomics,
        Proteomics and single-cell RNA sequencing Data
Version: 1.26.0
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_20
git_last_commit: 61cbd64
git_last_commit_date: 2024-10-29
Repository: Bioconductor 3.20
Date/Publication: 2024-10-29
Packaged: 2024-10-30 02:47:55 UTC; biocbuild
Built: R 4.4.2; ; 2024-12-22 17:29:19 UTC; unix
