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missRows
This package is for version 3.21 of Bioconductor; for the stable, up-to-date release version, see missRows.
Handling Missing Individuals in Multi-Omics Data Integration
Bioconductor version: 3.21
The missRows package implements the MI-MFA method to deal with missing individuals ('biological units') in multi-omics data integration. The MI-MFA method generates multiple imputed datasets from a Multiple Factor Analysis model, then the yield results are combined in a single consensus solution. The package provides functions for estimating coordinates of individuals and variables, imputing missing individuals, and various diagnostic plots to inspect the pattern of missingness and visualize the uncertainty due to missing values.
Author: Ignacio Gonzalez and Valentin Voillet
Maintainer: Gonzalez Ignacio <ignacio.gonzalez at bbox.fr>
citation("missRows")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("missRows")
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("missRows")
Details
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Follow Installation instructions to use this package in your R session.