SDAMS

DOI: 10.18129/B9.bioc.SDAMS    

Differential Abundant Analysis for Metabolomics and Proteomics Data

Bioconductor version: Release (3.11)

This Package utilizes a Semi-parametric Differential Abundance analysis (SDA) method for metabolomics and proteomics data from mass spectrometry. SDA is able to robustly handle non-normally distributed data and provides a clear quantification of the effect size.

Author: Yuntong Li <yuntong.li at uky.edu>, Chi Wang <chi.wang at uky.edu>, Li Chen <lichenuky at uky.edu>

Maintainer: Yuntong Li <yuntong.li at uky.edu>

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SDAMS")

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

Documentation

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

browseVignettes("SDAMS")

 

PDF	R Script	SDAMS Vignette
PDF		Reference Manual
Text		NEWS

Details

biocViews	DifferentialExpression, ImmunoOncology, MassSpectrometry, Metabolomics, Proteomics, Software
Version	1.8.0
In Bioconductor since	BioC 3.7 (R-3.5) (2.5 years)
License	GPL
Depends	R (>= 3.5), SummarizedExperiment
Imports	trust, qvalue, methods, stats, utils
LinkingTo
Suggests	testthat
SystemRequirements
Enhances
URL
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_1.8.0.tar.gz
Windows Binary	SDAMS_1.8.0.zip
macOS 10.13 (High Sierra)	SDAMS_1.8.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/SDAMS
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/SDAMS
Package Short Url	https://bioconductor.org/packages/SDAMS/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.11	Source Archive