| MetabolicSurv {MetabolicSurv} | R Documentation |
MetabolicSurv: A biomarker validation approach for predicting survival using metabolic 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
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
It developed any form of signature from the high dimensional data to be used for other purpose
It also employs data reduction techniques such as PCA, PLS and Lasso
It classifies subjects based on the signatures into Low and high risk group
It incorporate the use of subject prognostic information for the to enhance the biomarker for classification
It gives information about the survival rate of subjects depending on the classification
Author(s)
Olajumoke Evangelina Owokotomo, olajumoke.owokotomo@uhasselt.be
Ziv Shkedy