Recent Selected Publications
- 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 (2024), in press (doi:10.1002/alz.14476)
- 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 Parkinsons disease, npj Digital Medicine (2024), 7, 235
- M. Ali, P. Garcia, L.P. Lunkes, A. Sciortino, M. Thomas, T. Heurtaux, K. Grzyb, R. Halder, D. Coowar, A. Skupin, L. Buée, D. Blum, M. Buttini, E. Glaab, Single cell transcriptome analysis of the THY-Tau22 mouse model of Alzheimer’s disease reveals sex-dependent dysregulations, Cell Death Discovery (2024), 10, 119
- S. Le Bars, E. Glaab, Single-Cell Cortical Transcriptomics Reveals Common and Distinct Changes in Cell-Cell Communication in Alzheimer’s and Parkinson’s Disease, Molecular Neurobiology (2024), 10.1007/s12035-024-04419-7
- 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
- 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
- A. Rauschenberger, Z. Landoulsi, M. van de Wiel, E. Glaab, Penalised regression with multiple sources of prior effects, Bioinformatics (2023), 39, 12
- A. Rauschenberger, E. Glaab, Predicting Dichotomised Outcomes from High-Dimensional Data in Biomedicine, Journal of Applied Statistics (2023), doi:10.1080/02664763.2023.2233057
- L. C. Tranchevent, R. Halder, E. Glaab, Systems level analysis of sex-dependent gene expression changes in Parkinson’s disease, npj Parkinson’s Disease (2023), 9, 8