Package: missRows 1.25.0

Gonzalez Ignacio

missRows: 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.

Authors:Ignacio Gonzalez and Valentin Voillet

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missRows.pdf |missRows.html✨
missRows/json (API)
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On BioConductor:missRows-1.25.0(bioc 3.20)missRows-1.24.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

12 exports 0.91 score 66 dependencies

Last updated 2 months agofrom:3e94be68c8

Exports:compromiseconfigurationsimputedDataimputedIndvMIDTListMIMFAMIparammissingIndvmissPatternplotIndplotVartuneM

Dependencies:abindaskpassBiobaseBiocBaseUtilsBiocGenericsclicolorspacecpp11crayoncurlDelayedArraydplyrfansifarvergenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablegtoolshttrIRangesisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimeMultiAssayExperimentmunsellnlmeopensslpillarpkgconfigplyrpurrrR6RColorBrewerRcpprlangS4ArraysS4VectorsscalesSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc