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msImpute

This is the development version of msImpute; for the stable release version, see msImpute.

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

Imputation of label-free mass spectrometry peptides


Bioconductor version: Development (3.24)

MsImpute is a package for imputation of peptide intensity in proteomics experiments. It additionally contains tools for MAR/MNAR diagnosis and assessment of distortions to the probability distribution of the data post imputation. The missing values are imputed by low-rank approximation of the underlying data matrix if they are MAR (method = "v2"), by Barycenter approach if missingness is MNAR ("v2-mnar"), or by Peptide Identity Propagation (PIP).

Author: Soroor Hediyeh-zadeh [aut, cre] ORCID iD ORCID: 0000-0001-7513-6779

Maintainer: Soroor Hediyeh-zadeh <hediyehzadeh.s at wehi.edu.au>

Citation (from within R, enter citation("msImpute")):

Soroor Hediyeh-zadeh. msImpute: Imputation of label-free mass spectrometry peptides. doi:10.18129/B9.bioc.msImpute, R package version 1.23.0, https://bioconductor.org/packages/msImpute.

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("msImpute")

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("msImpute")
msImpute: proteomics missing values imputation and diagnosis HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews MassSpectrometry, Proteomics, Software
Version1.23.0
In Bioconductor sinceBioC 3.12 (R-4.0) (6 years)
License GPL (>=2)
Depends R (>= 3.5.0)
Imports softImpute, methods, stats, graphics, pdist, reticulate, scran, data.table, FNN, matrixStats, limma, mvtnorm, tidyr, dplyr
System Requirementspython
URL
Bug Reportshttps://github.com/DavisLaboratory/msImpute/issues
See More
Suggests BiocStyle, knitr, rmarkdown, ComplexHeatmap, imputeLCMD
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Package Archives

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

Source Package msImpute_1.23.0.tar.gz
Windows Binary (x86_64) msImpute_1.23.0.zip
macOS Binary (big-sur-x86_64) msImpute_1.23.0.tgz
macOS Binary (sonoma-arm64) msImpute_1.23.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/msImpute
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/msImpute
Package Short Url https://bioconductor.org/packages/msImpute/
Package Downloads ReportDownload Stats