Package: missRows 1.27.0

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)
NEWS

# Install 'missRows' in R:
install.packages('missRows', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • NCI60 - Data of the NCI-60 Cell Lines with Missing Individuals

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.

softwarestatisticalmethoddimensionreductionprincipalcomponentmathematicalbiologyvisualization

3.30 score 3 scripts 180 downloads 12 exports 66 dependencies

Last updated 23 days agofrom:560ef6b98a. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 31 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 31 2024
R-4.4-macNOTEOct 31 2024
R-4.3-winNOTEOct 31 2024
R-4.3-macNOTEOct 31 2024

Exports:compromiseconfigurationsimputedDataimputedIndvMIDTListMIMFAMIparammissingIndvmissPatternplotIndplotVartuneM

Dependencies:abindaskpassBiobaseBiocBaseUtilsBiocGenericsclicolorspacecpp11crayoncurlDelayedArraydplyrfansifarvergenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablegtoolshttrIRangesisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimeMultiAssayExperimentmunsellnlmeopensslpillarpkgconfigplyrpurrrR6RColorBrewerRcpprlangS4ArraysS4VectorsscalesSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc

missRows

Rendered frommissRows.Rnwusingknitr::knitron Oct 30 2024.

Last update: 2018-08-30
Started: 2018-02-23