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DEqMS

a tool to perform statistical analysis of differential protein expression for quantitative proteomics data.

Bioconductor version: 3.24 · Package version: 1.31.0

DEqMS is developped on top of Limma. However, Limma assumes same prior variance for all genes. In proteomics, the accuracy of protein abundance estimates varies by the number of peptides/PSMs quantified in both label-free and labelled data. Proteins quantification by multiple peptides or PSMs are more accurate. DEqMS package is able to estimate different prior variances for proteins quantified by different number of PSMs/peptides, therefore acchieving better accuracy. The package can be applied to analyze both label-free and labelled proteomics data.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("DEqMS")

Details

MaintainerYafeng Zhu <yafeng.zhu@outlook.com>
AuthorYafeng Zhu
LicenseLGPL
Bug Reportshttps://github.com/yafeng/DEqMS/issues
Downloads rank753
Source branchdevel
biocViewsBayesian, DifferentialExpression, ExperimentHubSoftware, ImmunoOncology, MassSpectrometry, MultipleComparison, Normalization, Preprocessing, Proteomics, Software

Documentation

Download

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

Source packageDEqMS_1.31.0.tar.gz
macOS binary (arm64)DEqMS_1.31.0.tgz
macOS binary (x86_64)DEqMS_1.31.0.tgz
Dependencies

Depends: R (>= 3.5), graphics, stats, ggplot2, matrixStats, dplyr, limma (>= 3.34)

Suggests: BiocStyle, knitr, rmarkdown, markdown, plyr, reshape2, utils, ggrepel, ExperimentHub, LSD

Reverse dependencies

Imports Me (2): PRONE, TraianProt