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fuseMLR  

Fusing Machine Learning in R
View on CRAN: Click here


Download and install fuseMLR package within the R console
Install from CRAN:
install.packages("fuseMLR")

Install from Github:
library("remotes")
install_github("cran/fuseMLR")

Install by package version:
library("remotes")
install_version("fuseMLR", "0.0.1")



Attach the package and use:
library("fuseMLR")
Maintained by
Cesaire J. K. Fouodo
[Scholar Profile | Author Map]
First Published: 2024-12-17
Latest Update: 2024-12-17
Description:
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.
How to cite:
Cesaire J. K. Fouodo (2024). fuseMLR: Fusing Machine Learning in R. R package version 0.0.1, https://cran.r-project.org/web/packages/fuseMLR. Accessed 01 Apr. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for fuseMLR
Functions, R codes and Examples using the fuseMLR R package
Full fuseMLR package functions and examples
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