SDAMS
Differential Abundant/Expression Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data
Bioconductor version: 3.24 · Package version: 1.33.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SDAMS") Details
| Maintainer | Yuntong Li <liyuntong0704@gmail.com> |
| Author | Yuntong Li <liyuntong0704@gmail.com>, Chi Wang <chi.wang@uky.edu>, Li Chen <lichenuky@uky.edu> |
| License | GPL |
| Downloads rank | 402 |
| Source branch | devel |
| biocViews | DifferentialExpression, ImmunoOncology, MassSpectrometry, Metabolomics, Proteomics, SingleCell, Software |
Documentation
Download
Follow the 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 (arm64) | SDAMS_1.33.0.tgz |
| macOS binary (x86_64) | SDAMS_1.33.0.tgz |
Dependencies
Depends: R (>= 3.5), SummarizedExperiment
Imports: trust, qvalue, methods, stats, utils
Suggests: testthat