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missRows

Handling Missing Individuals in Multi-Omics Data Integration

Bioconductor version: 3.24 · Package version: 1.33.0

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.

Installation

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

BiocManager::install("missRows")

Details

MaintainerGonzalez Ignacio <ignacio.gonzalez@bbox.fr>
AuthorIgnacio Gonzalez and Valentin Voillet
LicenseArtistic-2.0
Downloads rank427
Source branchdevel
biocViewsDimensionReduction, MathematicalBiology, PrincipalComponent, Software, StatisticalMethod, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagemissRows_1.33.0.tar.gz
Windows binary (x86_64)missRows_1.33.0.zip
macOS binary (arm64)missRows_1.33.0.tgz
macOS binary (x86_64)missRows_1.33.0.tgz
Dependencies

Depends: R (>= 3.5), methods, ggplot2, grDevices, MultiAssayExperiment

Imports: plyr, stats, gtools, S4Vectors

Suggests: BiocStyle, knitr, testthat