SDAMS: Differential Abundant Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data

This Package utilizes a Semi-parametric Differential Abundance 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.

Package details

AuthorYuntong Li <>, Chi Wang <>, Li Chen <>
Bioconductor views DifferentialExpression ImmunoOncology MassSpectrometry Metabolomics Proteomics SingleCell
MaintainerYuntong Li <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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SDAMS documentation built on Nov. 8, 2020, 6:10 p.m.