Generate mixomics input data for supervised methods

Creates an object that can be used as input for the MixOmics package. It contains the omics datasets restricted to common samples (with no missing group information) and an outcome group for each sample.

Usage

get_input_mixomics_supervised(mo_data, group, datasets = names(mo_data))

Arguments

mo_data

A MultiDataSet-class object.

group

Character, the column name in the samples metadata data-frames to use as samples group (use get_samples_metadata to view the samples information data-frame for each dataset). This column should be either of type factor, character or integer.

datasets

Character vector, the names of the datasets from mo_data to include in the analysis.

Value

A list, in which each element corresponds to one omics dataset, with samples as rows and features as columns. The Y element is a factor vector with the outcome group of each sample.

Details

Samples with missing values in the group column of the sample metadata will be removed from the dataset.