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Recent Selected Publications

1. R.T.J. Loo, L. Pavelka, G. Mangone, F. Khoury, M. Vidailhet, J.-C. Corvol, E. Glaab, Multi-cohort Machine Learning Identifies Predictors of Cognitive Impairment in Parkinson’s Disease, npj Digital Medicine (2025), 8, 482
2. M. Soudy, S. Le Bars, E. Glaab, Sex-Dependent Molecular Landscape of Alzheimer’s Disease Revealed by Large-Scale Single-Cell Transcriptomics, Alzheimer’s & Dementia (2025), 21, 2
3. G. Svinin, R.T.J. Loo, M. Soudy, F. Nasta, S. Le Bars, E. Glaab, Computational systems biology methods for cross-disease comparison of omics data, WIREs Computational Molecular Science (2025), in press
4. R.T.J. Loo, L. Pavelka, G. Mangone, F. Khoury, M. Vidailhet, J.-C. Corvol, R. Krüger, E. Glaab, Interpretable Machine Learning for Cross-Cohort Prediction of Motor Fluctuations in Parkinson’s Disease, Movement Disorders (2025), in press (doi:10.1002/mds.30223)
5. A. Rauschenberger, P.N. Nazarov, E. Glaab, Estimating sparse regression models in multi-task learning and transfer learning through adaptive penalisation, Bioinformatics (2025), in press (doi:10.1093/bioinformatics/btaf406)
6. H. Feng, D. Pogorelov, S. Bode, X. He, J. Ramiro-Garcia, F. Hedin, W. Ammerlaan, M. Konstantinou et al., Multiomics approaches disclose very-early molecular and cellular switches during insect-venom allergen-specific immunotherapy: an observational study, Nature Communications (2024), 15, 10266
7. H. Scheiblich, F. Eikens, L. Wischhof, S. Opitz, K. Jüngling, C. Cserép, S.V. Schmidt, J. Lambertz et al., Microglia rescue neurons from aggregate-induced neuronal dysfunction and death through tunneling nanotubes, Neuron (2024), 112(18):3106
8. E. Gómez de Lope, R.T.J. Loo, A. Rauschenberger, M. Ali, L. Pavelka, T.M. Marques, C.P.C. Gomes, R. Krüger, E. Glaab, Comprehensive blood metabolomics profiling of Parkinson’s disease reveals coordinated alterations in xanthine metabolism, npj Parkinson’s Disease (2024), 10, 68
9. C. Brzenczek, Q. Klopfenstein, T. Hähnel, S. Sapienza, J. Klucken, H. Fröhlich, E. Glaab, Integrating digital gait sensor data with metabolomics and clinical data to predict clinically relevant outcomes in Parkinson‘s disease, npj Digital Medicine (2024), 7, 23
10. R.T.J. Loo, M. Soudy, F. Nasta, M. Macchi, E. Glaab, Bioinformatics approaches to study molecular sex differences in complex diseases, Briefings in Bioinformatics (2024), 25, 6