| COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology D Domingo-Fernández, S Baksi, B Schultz, Y Gadiya, R Karki, T Raschka, ... Bioinformatics 37 (9), 1332-1334, 2021 | 123 | 2021 |
| Deletion of Alzheimer's disease‐associated CD33 results in an inflammatory human microglia phenotype J Wißfeld, I Nozaki, M Mathews, T Raschka, C Ebeling, V Hornung, ... Glia 69 (6), 1393-1412, 2021 | 80 | 2021 |
| Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment D Domingo-Fernández, AT Kodamullil, A Iyappan, M Naz, MA Emon, ... Bioinformatics 33 (22), 3679-3681, 2017 | 43 | 2017 |
| Analytical strategy to prioritize Alzheimer’s disease candidate genes in gene regulatory networks using public expression data SB Kawalia, T Raschka, M Naz, R de Matos Simoes, P Senger, ... Journal of Alzheimer's Disease 59 (4), 1237-1254, 2017 | 22 | 2017 |
| NeuroRDF: semantic integration of highly curated data to prioritize biomarker candidates in Alzheimer's disease A Iyappan, SB Kawalia, T Raschka, M Hofmann-Apitius, P Senger Journal of biomedical semantics 7, 1-15, 2016 | 20 | 2016 |
| A method for the rational selection of drug repurposing candidates from multimodal knowledge harmonization B Schultz, A Zaliani, C Ebeling, J Reinshagen, D Bojkova, ... Scientific reports 11 (1), 11049, 2021 | 14 | 2021 |
| 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 | 12 | 2023 |
| Progression subtypes in Parkinson’s disease identified by a data-driven multi cohort analysis T Hähnel, T Raschka, S Sapienza, J Klucken, E Glaab, JC Corvol, ... npj Parkinson's Disease 10 (1), 95, 2024 | 5 | 2024 |
| The COVID-19 PHARMACOME: A method for the rational selection of drug repurposing candidates from multimodal knowledge harmonization B Schultz, A Zaliani, C Ebeling, J Reinshagen, D Bojkova, ... bioRxiv, 2020.09. 23.308239, 2020 | 4 | 2020 |
| A machine learning method for the identification and characterization of novel COVID-19 drug targets B Schultz, LN DeLong, A Masny, M Lentzen, T Raschka, D van Dijk, ... Scientific Reports 13 (1), 7159, 2023 | 3 | 2023 |
| Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasets RQ Figueiredo, SD Del Ser, T Raschka, M Hofmann-Apitius, ... BMC bioinformatics 23 (1), 231, 2022 | 3 | 2022 |
| AI reveals insights into link between CD33 and cognitive impairment in Alzheimer’s Disease T Raschka, M Sood, B Schultz, A Altay, C Ebeling, H Fröhlich PLOS Computational Biology 19 (2), e1009894, 2023 | 2 | 2023 |
| Progression subtypes in Parkinson's disease: a data-driven multi-cohort analysis T Haehnel, T Raschka, S Sapienza, J Klucken, E Glaab, JC Corvol, ... medRxiv, 2023.10. 12.23296943, 2023 | 2 | 2023 |
| Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanisms RQ Figueiredo, T Raschka, AT Kodamullil, M Hofmann-Apitius, S Mubeen, ... Nucleic acids research 49 (14), 7939-7953, 2021 | 2 | 2021 |
| Unraveling progression subtypes in people with Huntington’s disease T Raschka, Z Li, H Gaßner, Z Kohl, J Jukic, F Marxreiter, H Fröhlich EPMA Journal, 1-13, 2024 | 1 | 2024 |
| Objective Monitoring of Motor Symptom Severity and their Progression in Parkinson’s Disease Using a Digital Gait Device T Raschka, J To, T Hähnel, S Sapienza, A Ibrahim, E Glaab, H Gaßner, ... | | 2024 |
| Progression subtypes in Parkinson's disease: Results of an AI-based multi-cohort analysis T Hähnel, T Raschka, S Sapienza, J Klucken, E Glaab, J Corvol, ... Clinical Neurophysiology 159, e39, 2024 | | 2024 |
| Leveraging the potential of digital technology for personalised medicine N Bontridder, T Hähnel, MM Valero, LC Marín, JC Corvol, MA El-Yacoubi, ... Journal of AI Law and Regulation 1 (2), 249-253, 2024 | | 2024 |
| Predictive Modeling to Uncover Parkinson's Disease Characteristics That Delay Diagnosis T Hähnel, T Raschka, J Klucken, E Glaab, JC Corvol, BH Falkenburger, ... medRxiv, 2024.03. 12.24304165, 2024 | | 2024 |
| Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasets R Queiroz Figueiredo, S Diaz del Ser, T Raschka, M Hofmann-Apitius, ... | | 2022 |
