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SDAMS

This is the development version of SDAMS; for the stable release version, see SDAMS.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7

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


Bioconductor version: Development (3.24)

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 <liyuntong0704 at gmail.com>, Chi Wang <chi.wang at uky.edu>, Li Chen <lichenuky at uky.edu>

Maintainer: Yuntong Li <liyuntong0704 at gmail.com>

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

Yuntong Li, Chi Wang, Li Chen. SDAMS: Differential Abundant/Expression Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data. doi:10.18129/B9.bioc.SDAMS, R package version 1.33.0, https://bioconductor.org/packages/SDAMS.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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 ManualPDF
NEWSText

Details

biocViews DifferentialExpression, ImmunoOncology, MassSpectrometry, Metabolomics, Proteomics, SingleCell, Software
Version1.33.0
In Bioconductor sinceBioC 3.7 (R-3.5) (8.5 years)
License GPL
Depends R (>= 3.5), SummarizedExperiment
Imports trust, qvalue, methods, stats, utils
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Package Archives

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

Source Package SDAMS_1.33.0.tar.gz
Windows Binary (x86_64) SDAMS_1.33.0.zip
macOS Binary (big-sur-x86_64) SDAMS_1.33.0.tgz
macOS Binary (sonoma-arm64) SDAMS_1.33.0.tgz
Source Repositorygit 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/
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