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

Handling Missing Individuals in Multi-Omics Data Integration

Bioconductor version: Development (3.20)

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>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

missRows PDF R Script
Reference Manual PDF


biocViews DimensionReduction, MathematicalBiology, PrincipalComponent, Software, StatisticalMethod, Visualization
Version 1.25.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License Artistic-2.0
Depends R (>= 3.5), methods, ggplot2, grDevices, MultiAssayExperiment
Imports plyr, stats, gtools, S4Vectors
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Suggests BiocStyle, knitr, testthat
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Source Package missRows_1.25.0.tar.gz
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macOS Binary (x86_64) missRows_1.25.0.tgz
macOS Binary (arm64) missRows_1.25.0.tgz
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