Prediction of metabolic biomarkers


The prediction of metabolic alterations on genome scale is still providng a challenge with respect to its application to medical research. While metabolomics approaches are on the rise, methods to either integrate these data with other omics-approaches or methods that are able to predict metabolic alterations based on expression changes are still missing or very limited. As disease dependent  metabolic changes can be measured in the blood, the  prediction of metabolic biomarkers would considerably improve minimal invasive disease diagnostics.

Related publication

Sharma S, Sauter R, ……, Ziegler, M, Heiland. I1 GEMCAT – A new algorithm for gene expression-based prediction of metabolic alterations NAR Genomics and Bioinformatics accepted https://doi.org/10.1093/nargab/lqaf003

Related toolbox

GEMCAT



Members:

Ines Heiland (Principal investigator) (Project manager)