| Modeling projections for COVID-19 pandemic by combining epidemiological, statistical, and neural network approaches S Uhlig, K Nichani, C Uhlig, K Simon medRxiv, 2020.04. 17.20059535, 2020 | 30 | 2020 |
| LocText: relation extraction of protein localizations to assist database curation JM Cejuela, S Vinchurkar, T Goldberg, MS Prabhu Shankar, ... BMC bioinformatics 19, 1-11, 2018 | 30 | 2018 |
| New perspectives on the importance of cell-free DNA biology AJ Bronkhorst, V Ungerer, A Oberhofer, S Gabriel, E Polatoglou, ... Diagnostics 12 (9), 2147, 2022 | 29 | 2022 |
| Tracing the origin of cell-Free DNA molecules through tissue-Specific epigenetic signatures A Oberhofer, AJ Bronkhorst, C Uhlig, V Ungerer, S Holdenrieder Diagnostics 12 (8), 1834, 2022 | 20 | 2022 |
| nala: text mining natural language mutation mentions JM Cejuela, A Bojchevski, C Uhlig, R Bekmukhametov, S Kumar Karn, ... Bioinformatics 33 (12), 1852-1858, 2017 | 13 | 2017 |
| Cell-free DNA fragmentation patterns in a cancer cell line V Ungerer, AJ Bronkhorst, C Uhlig, S Holdenrieder Diagnostics 12 (8), 1896, 2022 | 10 | 2022 |
| Valid machine learning algorithms for multiparameter methods S Uhlig, B Colson, K Hettwer, K Simon, C Uhlig, S Wittke, M Stoyke, ... Accreditation and Quality Assurance 24, 271-279, 2019 | 7 | 2019 |
| Development and In-House Validation of an LC–MS and LC–MS/MS Assay for the Determination of Food Fraud for Different Fish Species P Lasch, S Uhlig, C Uhlig, C Wilhelm, N Bergmann, S Wittke Journal of AOAC International 102 (5), 1330-1338, 2019 | 5 | 2019 |
| Modeling Projections for COVID–19 Pandemic by Combining Epidemiological, Statistical and Neural Network Approaches. medRxiv preprint (2020) S Uhlig, K Nichani, C Uhlig, K Simon Google Scholar][CrossRef][Green Version], 0 | 5 | |
| Performance characteristics and criteria for non-targeted methods S Uhlig, K Nichani, B Colson, K Hettwer, K Simon, C Uhlig, M Stoyke, ... Proceedings of the Eurachem Workshop, Tartu, Estonia, 20-21, 2019 | 3 | 2019 |
| LASSO extension: using the number of non-zero coefficients to test the global model hypothesis C Uhlig, S Uhlig arXiv preprint arXiv:2307.16374, 2023 | 1 | 2023 |
| Development of Non-Targeted Mass Spectrometry Method for Distinguishing Spelt and Wheat K Nichani, S Uhlig, B Colson, K Hettwer, K Simon, J Bönick, C Uhlig, ... Foods 12 (1), 141, 2022 | 1 | 2022 |
| AI-based identification of grain cultivars via non-target mass spectrometry K Nichani, S Uhlig, B Colson, K Hettwer, K Simon, J Bönick, C Uhlig, ... bioRxiv, 2020.05. 07.082065, 2020 | 1 | 2020 |
| Multi-Omic Candidate Screening for Markers of Severe Clinical Courses of COVID-19 A Dutsch, C Uhlig, M Bock, C Graesser, S Schuchardt, S Uhlig, ... Journal of Clinical Medicine 12 (19), 6225, 2023 | | 2023 |
| Cell-Free DNA Fragmentation Patterns in a Bone Cancer Cell Line. Diagnostics 2022, 12, 1896 V Ungerer, AJ Bronkhorst, C Uhlig, S Holdenrieder s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
| Modeling projections for COVID-19 pandemic by combining epidemiological, statistical, and neural network approaches (preprint) S Uhlig, K Nichani, C Uhlig, K Simon | | 2020 |
| Supporting online material for: nala: text mining of natural language mutations mentions JM Cejuela, A Bojchevski, C Uhlig, R Bekmukhametov, SK Karn, ... | | |
