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SMAD

This is the released version of SMAD; for the devel version, see SMAD.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9

Statistical Modelling of AP-MS Data (SMAD)


Bioconductor version: Release (3.23)

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.

Author: Qingzhou Zhang [aut, cre] ORCID iD ORCID: 0000-0001-9540-2624

Maintainer: Qingzhou Zhang <zqzneptune at hotmail.com>

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.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("SMAD")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SMAD")
SMAD Quick Start HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews MassSpectrometry, Proteomics, Software
Version1.28.0
In Bioconductor sinceBioC 3.9 (R-3.6) (7.5 years)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports data.table, dplyr, magrittr (>= 1.5), Rcpp (>= 1.0.0), RcppAlgos, stats, tidyr, utils
System Requirements
URLhttps://github.com/zqzneptune/SMAD
Bug Reportshttps://github.com/zqzneptune/SMAD/issues
See More
Suggests BiocStyle, knitr, rmarkdown, testthat
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package SMAD_1.28.0.tar.gz
Windows Binary (x86_64) SMAD_1.28.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) SMAD_1.28.0.tgz
macOS Binary (sonoma-arm64) SMAD_1.28.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/SMAD
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/SMAD
Package Short Url https://bioconductor.org/packages/SMAD/
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