multi_omics: Simulated multiomics data for 70 training participants and 23...
In fuseMLR: Fusing Machine Learning in R
multi_omics R Documentation
Simulated multiomics data for 70 training participants and 23 testing participants,
each with an effect size of 20 on each layer. Each layer includes 50 participants for
training and 20 for testing. Participants do not perfectly overlap across layers.
The simulation is based on the R package interSIM.
Description
The dataset is a list containing training and testing data,
called training and testing respectively. Each data is a list
containing the following multi_omics at each layer.
Usage
data(multi_omics)
Format
A list with training and testing data contaning methylation, gene expressions and protein expressions data.
Details
-
methylation: A data.frame containing the simulated methylation dataset.
-
genexpr : A data.frame containing the gene expression dataset.
-
proteinexpr: A data.frame containing the protein expression dataset.
-
target: A data.frame with two columns, containing patient IDs and values of target variable.
fuseMLR documentation built on April 3, 2025, 8:49 p.m.
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| multi_omics | R Documentation |
Simulated multiomics data for 70 training participants and 23 testing participants,
each with an effect size of 20 on each layer. Each layer includes 50 participants for
training and 20 for testing. Participants do not perfectly overlap across layers.
The simulation is based on the R package interSIM.
Description
The dataset is a list containing training and testing data,
called training and testing respectively. Each data is a list
containing the following multi_omics at each layer.
Usage
data(multi_omics)
Format
A list with training and testing data contaning methylation, gene expressions and protein expressions data.
Details
-
methylation: Adata.framecontaining the simulated methylation dataset. -
genexpr: Adata.framecontaining the gene expression dataset. -
proteinexpr: Adata.framecontaining the protein expression dataset. -
target: Adata.framewith two columns, containing patient IDs and values of target variable.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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