# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "fuseMLR" in publications use:' type: software license: GPL-3.0-only title: 'fuseMLR: Fusing Machine Learning in R' version: 0.0.1 doi: 10.32614/CRAN.package.fuseMLR abstract: 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. authors: - family-names: K. given-names: Cesaire J. name-suffix: Fouodo email: cesaire.kuetefouodo@uni-luebeck.de repository: https://imbs-hl.r-universe.dev repository-code: https://github.com/imbs-hl/fuseMLR commit: 9869b24595785920ab0fae525e08928bbf2722b7 url: https://github.com/imbs-hl/fuseMLR contact: - family-names: K. given-names: Cesaire J. name-suffix: Fouodo email: cesaire.kuetefouodo@uni-luebeck.de