Recent technological advances have enable the simultaneous collection of multi-omics data i.e., different types or modalities of molecular data, presenting challenges for integrative prediction modeling due to the heterogeneous, high-dimensional nature and possible missing modalities of some individuals. We introduce this package for late integrative prediction modeling, enabling modality-specific variable selection and prediction modeling, followed by the aggregation of the modality-specific predictions to train a final meta-model. This package facilitates conducting late integration predictive modeling in a systematic, structured, and reproducible way.
Version: 0.0.1 Depends: R (≥ 3.6.0) Imports: R6, stats, digest Suggests: testthat (≥ 3.0.0), UpSetR (≥ 1.4.0), caret, ranger, glmnet, Boruta, knitr, rmarkdown, pROC, checkmate Published: 2024-12-17 DOI: 10.32614/CRAN.package.fuseMLR Author: Cesaire J. K. Fouodo [aut, cre] Maintainer: Cesaire J. K. Fouodo <cesaire.kuetefouodo at uni-luebeck.de> BugReports: https://github.com/imbs-hl/fuseMLR/issues License: GPL-3 NeedsCompilation: no Materials: README CRAN checks: fuseMLR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=fuseMLR to link to this page.
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