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SMAD

This is the development version of SMAD; for the stable release 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: Development (3.24)

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 1.29.0, 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")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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
Version1.29.0
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
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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_1.29.0.tar.gz
Windows Binary (x86_64) SMAD_1.29.0.zip
macOS Binary (big-sur-x86_64) SMAD_1.29.0.tgz
macOS Binary (sonoma-arm64) SMAD_1.29.0.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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