SDAMS

DOI: 10.18129/B9.bioc.SDAMS    

Differential Abundant Analysis for Metabolomics and Proteomics Data

Bioconductor version: Release (3.8)

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>

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

Installation

To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("SDAMS", version = "3.8")

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, MassSpectrometry, Metabolomics, Proteomics, Software
Version 1.2.0
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_1.2.0.tar.gz
Windows Binary SDAMS_1.2.0.zip
Mac OS X 10.11 (El Capitan) SDAMS_1.2.0.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 http://bioconductor.org/packages/SDAMS/
Package Downloads Report Download Stats

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