The SIAMCAT class
The S4 SIAMCAT class stores the results from the SIAMCAT workflow in different slots. The different slots will be filled by different functions (referenced in the description below).
In order to contruct a SIAMCAT class object, please refer to the documentation of the construction function siamcat.
The SIAMCAT class is based on the phyloseq-class. Therefore,
you can easily import a
phyloseq object into SIAMCAT.
object of class phyloseq-class
list containing the filtered features as matrix and the list of filtering parameters, created by calling the filter.features function
list containing the parameters for association testing and the results of association testing with these parameters in a dataframe, created by calling the check.associations function
list containing the normalized features as matrix and the list of normalziation parameters (for frozen normalization), created by calling the normalize.features function
list containing cross-validation instances, created by calling the create.data.split function
list containing the trained models, the type of model that was trained, and on which kind of features it was trained, created by calling the train.model function
matrix of predictions, created by calling the make.predictions function
list containing different evaluation metrics, created by calling the evaluate.predictions function