BioConductor

missRows 1.0.0

Handling Missing Individuals in Multi-Omics Data Integration

Released Mar 19, 2018 by Gonzalez Ignacio

This package cannot yet be used with Renjin it depends on other packages which are not available: MultiAssayExperiment 1.6.0 An older version of this package is more compatible with Renjin.

Dependencies

MultiAssayExperiment 1.6.0 ggplot2 2.2.1 plyr 1.8.4 S4Vectors 0.18.2 gtools 3.5.0

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.

Source

R

Release History