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:
missRows_1.27.0.tar.gz
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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')) |
- NCI60 - Data of the NCI-60 Cell Lines with Missing Individuals
On BioConductor:missRows-1.27.0(bioc 3.21)missRows-1.26.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
softwarestatisticalmethoddimensionreductionprincipalcomponentmathematicalbiologyvisualization
Last updated 2 months agofrom:560ef6b98a. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 29 2024 |
| R-4.5-win | NOTE | Nov 29 2024 |
| R-4.5-linux | NOTE | Nov 29 2024 |
| R-4.4-win | NOTE | Nov 29 2024 |
| R-4.4-mac | NOTE | Nov 29 2024 |
| R-4.3-win | NOTE | Nov 29 2024 |
| R-4.3-mac | NOTE | Nov 29 2024 |
Exports:compromiseconfigurationsimputedDataimputedIndvMIDTListMIMFAMIparammissingIndvmissPatternplotIndplotVartuneM
Dependencies:abindaskpassBiobaseBiocBaseUtilsBiocGenericsclicolorspacecpp11crayoncurlDelayedArraydplyrfansifarvergenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablegtoolshttrIRangesisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimeMultiAssayExperimentmunsellnlmeopensslpillarpkgconfigplyrpurrrR6RColorBrewerRcpprlangS4ArraysS4VectorsscalesSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc
