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Bioconductor - msImpute (development version)

msImpute

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

Imputation of label-free mass spectrometry peptides

Bioconductor version: Development (3.22)

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: 0000-0001-7513-6779

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

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

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
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 Manual PDF NEWS Text Details biocViews MassSpectrometry, Proteomics, Software Version 1.19.0 In Bioconductor since BioC 3.12 (R-4.0) (4.5 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 Requirements python URL Bug Reports https://github.com/DavisLaboratory/msImpute/issues See More Package Archives

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


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