Machine Learning for Computational Metabolomics

Project Details


In the project, new technologies are developed for the identifying metabolites from metabolomics samples analyzed with mass spectrometry. Machine learning algorithms are developed that allow accurate annotation of metabolites and discovery of metabolic pathways that change their activation upon onset of a disease.
Short titleMMACOME/Rousu
Effective start/end date01/09/201731/08/2021


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.