SDAMS

DOI:10.18129/B9.bioc.SDAMS

This is thedevelopmentversion of SDAMS; for the stable release version, seeSDAMS.

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

Bioconductor version: Development (3.16)

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 , Chi Wang , Li Chen

Maintainer: Yuntong Li

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") # The following initializes usage of Bioc devel BiocManager::install(version='devel') BiocManager::install("SDAMS")

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

Documentation

查看文档的版本包age 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	1.17.0
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
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Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package	SDAMS_1.17.0.tar.gz
Windows Binary	SDAMS_1.17.0.zip
macOS 10.13 (High Sierra)	SDAMS_1.17.0.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	//www.andersvercelli.com/packages/SDAMS/
Package Downloads Report	Download Stats