CORDIS Project
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This project focuses on enhancing mass spectrometry techniques to identify previously undetected protein variants in biological samples. By employing explainable machine learning models, the research aims to improve our understanding of disease mechanisms and potential therapeutic targets.
Mass spectrometry driven proteomics allows deep insights into the working of cells.
Still, the vast majority of proteoforms, representing the full heterogeneity of molecular forms of protein products in a sample, currently remain undetected in proteomics experiments.
This lack of information strongly restricts our knowledge of disease progression, possible biomarkers, and therapeutic targets across a large number of diseases.
Several machine learning approaches have been developed for proteomic…
HASSO-PLATTNER-INSTITUT FUR DIGITAL ENGINEERING GGMBH
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