SDAMS

DOI: 10.18129/B9.bioc.SDAMS    

This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see SDAMS.

Differential Abundant/Expression Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data

Bioconductor version: 3.15

This Package utilizes a Semi-parametric Differential Abundance/expression 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.

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 "4.2") 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")

 

PDF R Script SDAMS Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, ImmunoOncology, MassSpectrometry, Metabolomics, Proteomics, SingleCell, Software
Version 1.16.0
In Bioconductor since BioC 3.7 (R-3.5) (4.5 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_1.16.0.tar.gz
Windows Binary SDAMS_1.16.0.zip
macOS Binary (x86_64) SDAMS_1.16.0.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

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