GonzalezIgnacio/HandlingMissRows: Handling Missing Individuals in Multi-Omics Data Integration
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.
Getting started
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Package details |
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| Author | Ignacio Gonzalez and Valentin Voillet |
| Bioconductor views | DimensionReduction MathematicalBiology PrincipalComponent Software StatisticalMethod Visualization |
| Maintainer | Gonzalez Ignacio <ignacio.gonzalez@bbox.fr> |
| License | Artistic-2.0 |
| Version | 0.99.8 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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