noise.matrix

A matrix of simulated data with dimensions comparable
to 'real' datasets

matrix

Correlation Perturbation - The higher k, the more the data
is perturbed.


Provides a matrix to perturb randomly generated data
to facilitate a more realistic dataset.


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

noise.matrix function

Provides a matrix to perturb randomly generated data
to facilitate a more realistic dataset.

noise.matrix: Noise Matrix Generator

Description

Usage

Arguments

Value