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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

MaintainerYuntong Li <liyuntong0704@gmail.com>
AuthorYuntong Li <liyuntong0704@gmail.com>, Chi Wang <chi.wang@uky.edu>, Li Chen <lichenuky@uky.edu>
LicenseGPL
Downloads rank402
Source branchdevel
biocViewsDifferentialExpression, ImmunoOncology, MassSpectrometry, Metabolomics, Proteomics, SingleCell, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageSDAMS_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