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 <yuntong.li@uky.edu>, Chi Wang <chi.wang@uky.edu>, Li Chen <lichenuky@uky.edu>
Bioconductor views DifferentialExpression ImmunoOncology MassSpectrometry Metabolomics Proteomics SingleCell
MaintainerYuntong Li <yuntong.li@uky.edu>
LicenseGPL
Version1.10.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SDAMS")

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