Metabolomics and random forests in patients with complex congenital heart disease.

ABSTRACT:

Introduction

It is increasingly common to simultaneously determine a large number of metabolites in order to assess the metabolic state of, or clarify biochemical pathways in, an organism ("metabolomics"). This approach is increasingly used in the investigation of the development of heart failure. Recently, the first reports with respect to a metabolomic approach for the assessment of patients with complex congenital heart disease have been published. Classical statistical analysis of such data is challenging.

Objective

This study aims to present an alternative to classical statistics with respect to identifying relevant metabolites in a classification task and numerically estimating their relative impact.

Methods

Data from two metabolomic studies on 20 patients with

SUBMITTER: Michel M 

PROVIDER: S-EPMC9581308 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature