SDAMS
Differential Abundant/Expression Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data
Bioconductor version: Release (3.17)
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("SDAMS")):
Installation
To install this package, start R (version "4.3") 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 | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DifferentialExpression, ImmunoOncology, MassSpectrometry, Metabolomics, Proteomics, SingleCell, Software |
| Version | 1.20.0 |
| In Bioconductor since | BioC 3.7 (R-3.5) (5.5 years) |
| License | GPL |
| Depends | R (>= 3.5), SummarizedExperiment |
| Imports | trust, qvalue, methods, stats, utils |
| Linking To | |
| Suggests | testthat |
| System Requirements | |
| Enhances | |
| URL |
See More
| 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_1.20.0.tar.gz |
| Windows Binary | SDAMS_1.20.0.zip |
| macOS Binary (x86_64) | SDAMS_1.20.0.tgz |
| macOS Binary (arm64) | SDAMS_1.20.0.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 |