SDAMS

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see SDAMS.

Differential Abundant Analysis for Metabolomics and Proteomics Data


Bioconductor version: 3.9

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 "3.6") and enter:


if (!require("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")
SDAMS Vignette PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews DifferentialExpression, ImmunoOncology, MassSpectrometry, Metabolomics, Proteomics, Software
Version 1.4.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License GPL
Depends R (>= 3.5), SummarizedExperiment
Imports trust, qvalue, methods, stats, utils
System Requirements
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Package Archives

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

Source Package SDAMS_1.4.0.tar.gz
Windows Binary SDAMS_1.4.0.zip
Mac OS X 10.11 (El Capitan) SDAMS_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/SDAMS
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/SDAMS
Bioc Package Browser https://code.bioconductor.org/browse/SDAMS/
Package Short Url https://bioconductor.org/packages/SDAMS/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.9 Source Archive