Das Seminar findet als Zoom-Konferenz statt. Webcam oder Mikrofon sind für die Teilnahme nicht erforderlich. Die Zugangsdaten werden Ihnen nach erfolgter Anmeldung (Kontakt: Tanja Boden) per Email zugeschickt.
| Datum | Uhrzeit | Referent/-in | Thema |
| Mi 29.04.2020 | 12.00-12.30 | Henrike Krenz | Phipson, B., & Smyth, G. K. (2010): Permutation P-values should never be zero: calculating exact P-values when permutations are randomly drawn. Statistical applications in genetics and molecular biology, 9(1) |
| Mi 13.05.2020 | 12.00-12.30 | Dr. Sarah Sandmann | von Luquette et al. (2019 in Nature Communications erschienen) |
| Mi 27.05.2020 | 12.00-12.30 | Sarah Riepenhausen | Artificial Intelligence-Driven Structurization of Diagnostic Information in Free-Text Pathology Reports von Giannaris PS et al. im Journal of Pathology Informatics, publiziert im Februar 2020 |
| Mi 10.06.2020 | 12.00-12.30 | Dr. Philipp Neuhaus | Complex data analysis: 70 Teams => One result? |
| Mi 24.06.2020 | 12.00-12.30 | Dr. Michael Storck | Towards a comprehensive and interoperable representation of consentbased data usage permissions in the German medical informatics initiative |
| Mi 08.07.2020 | 12.00-12.30 | Ayşenur Süer | Weiskopf, N. G., Bakken, S., Hripcsak, G., & Weng, C. (2017). A Data Quality Assessment Guideline for Electronic Health Record Data Reuse |
| Mi 22.07.2020 | 12.00-12.30 | Tobias Tekath | Data detectives, self-love, and humility: a research parasite’s perspective |
| Mi 19.08.2020 | 12.00-12.30 | Dr. Julian Varghese | Covid-19: The app credibility gap |
| Mi 09.09.2020 | 12.00-12.30 | Lanying Wei | Microbiome analyses of blood and tissues suggest cancer diagnostic approach, Poore, G.D., Kopylova, E., Zhu, Q. et al. (Nature 2020) |
| Mi 16.09.2020 | 12.00-12.30 | Dr. Carolin Walter | Sater et al, 2020 (Bioinformatics): "UMI-VarCal: a new UMI-based variant caller that efficiently improves low-frequency variant detection in paired-end sequencing NGS libraries" |
| Mi 30.09.2020 | 12.00-12.30 | Dr. Tobias Brix | Jules Polonetsky, Omer Tene, and Kelsey Finch,Shades of Gray: Seeing the Full Spectrum of Practical Data De-identification, 56 SantaClaraL. Rev. 593 (2016). Available at: digitalcommons.law.scu.edu/lawreview/vol56/iss3/3 |