DOI: 10.18129/B9.bioc.SDAMS  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see SDAMS.

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

Bioconductor version: 3.17

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 < at>, Chi Wang < at>, Li Chen <lichenuky at>

Maintainer: Yuntong Li < at>

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


To install this package, start R (version "4.3") 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:



PDF R Script SDAMS Vignette
PDF   Reference Manual
Text   NEWS


biocViews DifferentialExpression, ImmunoOncology, MassSpectrometry, Metabolomics, Proteomics, SingleCell, Software
Version 1.20.0
In Bioconductor since BioC 3.7 (R-3.5) (5.5 years)
License GPL
Depends R (>= 3.5), SummarizedExperiment
Imports trust, qvalue, methods, stats, utils
Suggests testthat
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package SDAMS_1.20.0.tar.gz
Windows Binary
macOS Binary (x86_64) SDAMS_1.20.0.tgz
macOS Binary (arm64) SDAMS_1.20.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: