Package: SDAMS
Type: Package
Title: Differential Abundant/Expression Analysis for Metabolomics,
        Proteomics and single-cell RNA sequencing Data
Version: 1.33.0
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
Config/pak/sysreqs: libicu-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:47:48 UTC
RemoteUrl: https://github.com/bioc/SDAMS
RemoteRef: HEAD
RemoteSha: db34dc944f4eaed61787f0865ca4e313f93c3e1e
Packaged: 2026-07-04 04:26:26 UTC; root