MetabolicSurv: MetabolicSurv: A biomarker validation approach for predicting...

In MetabolicSurv: A Biomarker Validation Approach for Classification and Predicting Survival Using Metabolomics Signature

Description

This package develope biomarker signature for metabolic data. It contains a set of functions and cross validation methods to validate and select biomarkers when the outcome of interest is survival. The package can handle prognostic factors and mainly metabolite matrix as input, the package can served as biomarker validation tool.

MetabolicSurv functions

1. It can be used with any form of high dimensional/omics data such as: Metabolic data, Gene expression matrix, incase you dont have a data it can simulate hypothetical scinerio of a high dimensional data based on the desired biological parameters

2. It developed any form of signature from the high dimensional data to be used for other purpose

3. It also employs data reduction techniques such as PCA, PLS and Lasso

4. It classifies subjects based on the signatures into Low and high risk group

5. It incorporate the use of subject prognostic information for the to enhance the biomarker for classification

6. It gives information about the survival rate of subjects depending on the classification

Author(s)

Olajumoke Evangelina Owokotomo, [e-mail]

Ziv Shkedy

MetabolicSurv documentation built on June 11, 2021, 9:06 a.m.