The number of features desired.  If rank correlation desired,
f = NULL


Compiles matrix of ranked features via ensemble
mean aggregation


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.

Charles Jr

OmicsMarkeR

Classification and Feature Selection for 'Omics' Datasets

EM function

The number of features desired.  If rank correlation desired,
f = NULL

Compiles matrix of ranked features via ensemble
mean aggregation

EM: Ensemble Mean Aggregation

Description

Usage

Arguments

Value

References

See Also