extract.features

Numeric variable data used for fitted models
(In appropriate format)

String indicating the INDIVIDUAL model being extracted from

method

Logical argument dictating if features selected
determined by models instead of user determined number of features.

model.features

If <code>model.features = TRUE</code>, must provide the parameter
at which to extract features from the model.

bestTune

An internal check for plsda models.  If the optimal model
contains only 1 component, the ncomp paramter must be set to 2 for the
model.  However, features are still extracted only from the first component.

comp.catch


Extracts features from models that have been previously fit.


Tools for classification and feature selection for 'omics' level
datasets.  It is a tool to provide multiple multivariate classification
and feature selection techniques complete with multiple stability metrics
and aggregation techniques.  It is primarily designed for analysis of
metabolomics datasets but potentially extendable to proteomics and
transcriptomics applications.

extract.features: Feature Extraction

Description

Usage

Arguments

Value