| L‐dopa increases α‐synuclein DNA methylation in Parkinson's disease patients in vivo and in vitro I Schmitt, O Kaut, H Khazneh, L deBoni, A Ahmad, D Berg, C Klein, ... Movement Disorders 30 (13), 1794-1801, 2015 | 108 | 2015 |
| Deep learning for clustering of multivariate clinical patient trajectories with missing values J de Jong, MA Emon, P Wu, R Karki, M Sood, P Godard, A Ahmad, ... GigaScience 8 (11), giz134, 2019 | 58 | 2019 |
| CADA: phenotype-driven gene prioritization based on a case-enriched knowledge graph C Peng, S Dieck, A Schmid, A Ahmad, A Knaus, M Wenzel, L Mehnert, ... NAR Genomics and Bioinformatics 3 (3), lqab078, 2021 | 34 | 2021 |
| Optimal multiparametric set-up modelled for best survival outcomes in palliative treatment of liver malignancies: unsupervised machine learning and 3 PM recommendations E Goldstein, K Yeghiazaryan, A Ahmad, FA Giordano, H Fröhlich, ... EPMA Journal 11, 505-515, 2020 | 28 | 2020 |
| Towards clinically more relevant dissection of patient heterogeneity via survival-based Bayesian clustering A Ahmad, H Fröhlich Bioinformatics 33 (22), 3558-3566, 2017 | 28 | 2017 |
| Integrating heterogeneous omics data via statistical inference and learning techniques A Ahmad, H Fröhlich gene expression 4, 5, 2016 | 25 | 2016 |
| Drug repositioning of antiretroviral ritonavir for combinatorial therapy in glioblastoma L Rauschenbach, A Wieland, R Reinartz, S Kebir, A Till, MD Oppong, ... European Journal of Cancer 140, 130-139, 2020 | 15 | 2020 |
| Skewed X-chromosome inactivation and XIST locus methylation levels do not contribute to the lower prevalence of Parkinson's disease in females A Sharma, O Kaut, A Pavlova, H Fröhlich, A Ahmad, I Schmitt, O El-Maarri, ... Neurobiology of Aging 57, 248. e1-248. e5, 2017 | 15 | 2017 |
| MultiGML: Multimodal graph machine learning for prediction of adverse drug events S Krix, LN DeLong, S Madan, D Domingo-Fernández, A Ahmad, S Gul, ... Heliyon 9 (9), 2023 | 9 | 2023 |
| Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data Z Narimani, H Beigy, A Ahmad, A Masoudi-Nejad, H Fröhlich PloS one 12 (2), e0171240, 2017 | 8 | 2017 |
| Artificial intelligence-based clustering and characterization of Parkinson's disease trajectories C Birkenbihl, A Ahmad, NJ Massat, T Raschka, A Avbersek, P Downey, ... Scientific Reports 13 (1), 2897, 2023 | 7 | 2023 |
| Comprehensive profiling of blood coagulation and fibrinolysis marker reveals elevated plasmin-antiplasmin complexes in Parkinson’s disease A Sharma, J Müller, K Schuetze, V Rolfes, R Bissinger, N Rosero, ... Biology 10 (8), 716, 2021 | 6 | 2021 |
| A sequential targeting strategy interrupts AKT-driven subclone-mediated progression in glioblastoma S Kebir, V Ullrich, P Berger, C Dobersalske, S Langer, L Rauschenbach, ... Clinical Cancer Research 29 (2), 488-500, 2023 | 4 | 2023 |
| Dissecting patient heterogeneity via statistical modeling based on multi-modal omics data A Ahmad http://hss.ulb.uni-bonn.de/2019/5496/5496.htm, 2019 | | 2019 |
Holger FröhlichHead of AI & Data Science Group & Deputy Head of Department of Bioinformatics at Fraunhofer SCAIVerified email at scai.fraunhofer.de
