SDAMS
Differential Abundant/Expression Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data
Bioconductor version: 3.23 · Package version: 1.32.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | DifferentialExpression, ImmunoOncology, MassSpectrometry, Metabolomics, Proteomics, SingleCell, Software |
| Package Short Url | https://bioconductor.org/packages/SDAMS/ |
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 1.32.0, https://bioconductor.org/packages/SDAMS.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | SDAMS_1.32.0.tar.gz |
| Windows binary (x86_64) | SDAMS_1.32.0.zip |
| macOS binary (arm64) | SDAMS_1.32.0.tgz |
| macOS binary (x86_64) | SDAMS_1.32.0.tgz |
Dependencies
Depends: R (>= 3.5), SummarizedExperiment
Imports: trust, qvalue, methods, stats, utils
Suggests: testthat