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Differential Abundant/Expression Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data

Bioconductor version: Release (3.19)

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.

Author: Yuntong Li <liyuntong0704 at>, Chi Wang < at>, Li Chen <lichenuky at>

Maintainer: Yuntong Li <liyuntong0704 at>

Citation (from within R, enter citation("SDAMS")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

SDAMS Vignette PDF R Script
Reference Manual PDF


biocViews DifferentialExpression, ImmunoOncology, MassSpectrometry, Metabolomics, Proteomics, SingleCell, Software
Version 1.24.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License GPL
Depends R (>= 3.5), SummarizedExperiment
Imports trust, qvalue, methods, stats, utils
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Follow Installation instructions to use this package in your R session.

Source Package SDAMS_1.24.0.tar.gz
Windows Binary
macOS Binary (x86_64) SDAMS_1.24.0.tgz
macOS Binary (arm64) SDAMS_1.24.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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