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SMAD

Statistical Modelling of AP-MS Data (SMAD)

Bioconductor version: 3.23 · Package version: 1.28.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

Assigning probability scores to protein interactions captured in affinity purification mass spectrometry (AP-MS) expriments to infer protein-protein interactions. The output would facilitate non-specific background removal as contaminants are commonly found in AP-MS data.

DOI: 10.18129/B9.bioc.SMAD

Installation

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

BiocManager::install("SMAD")

Details

MaintainerQingzhou Zhang <zqzneptune@hotmail.com>
AuthorQingzhou Zhang [aut, cre] (ORCID: <https://orcid.org/0000-0001-9540-2624>)
LicenseMIT + file LICENSE
URLhttps://github.com/zqzneptune/SMAD
Bug Reportshttps://github.com/zqzneptune/SMAD/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsMassSpectrometry, Proteomics, Software
Package Short Url https://bioconductor.org/packages/SMAD/

Citation

From within R, enter citation("SMAD"):

Qingzhou Zhang. SMAD: Statistical Modelling of AP-MS Data (SMAD). doi:10.18129/B9.bioc.SMAD, R package version 1.28.0, https://bioconductor.org/packages/SMAD.

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 packageSMAD_1.28.0.tar.gz
Windows binary (x86_64)SMAD_1.28.0.zip
macOS binary (arm64)SMAD_1.28.0.tgz
macOS binary (x86_64)SMAD_1.28.0.tgz
Dependencies

Depends: R (>= 4.5.0)

Imports: data.table, dplyr, magrittr (>= 1.5), Rcpp (>= 1.0.0), RcppAlgos, stats, tidyr, utils

LinkingTo: Rcpp

Suggests: BiocStyle, knitr, rmarkdown, testthat