Bioconductor version: Release (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 <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")
):
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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SDAMS")
R Script | SDAMS Vignette | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, ImmunoOncology, MassSpectrometry, Metabolomics, Proteomics, SingleCell, Software |
Version | 1.18.0 |
In Bioconductor since | BioC 3.7 (R-3.5) (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 |
Follow Installation instructions to use this package in your R session.
Source Package | SDAMS_1.18.0.tar.gz |
Windows Binary | SDAMS_1.18.0.zip (64-bit only) |
macOS Binary (x86_64) | SDAMS_1.18.0.tgz |
macOS Binary (arm64) | SDAMS_1.18.0.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 |
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