Daniela Klaproth-Andrade
Positions
| 2020 - present | PhD student in the Chair of Computational Molecular Medicine, TUM, Germany |
| 2019 - 2020 | Master thesis in the Chair of Computational Molecular Medicine, TUM, Germany |
| 2019 - 2020 | Tutor in "Data Analysis and Visualization in R", TUM, Germany |
| 2018 - 2019 | Student position at ProSiebenSat1 |
| 2017 | Bachelor Thesis in the Chair of Discrete Mathematics, Optimization an Convexity, TUM, Germany |
| 2016 - 2018 | Tutor in "Discrete Structures", TUM, Germany |
Education
| 2017 - 2020 | M.Sc in Data Engineering & Analytics, TUM, Germany |
| 2014 - 2017 | B.Sc in Computer Science, TUM, Germany |
Publications
- Daniela Klaproth-Andrade, Johannes Hingerl, Nicholas Harlan Smith, Jakob Träuble, Mathias Wilhelm@, Julien Gagneur@. Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing. bioRxiv, 2023
- Vicente A. Yépez, Christian Mertes, Michaela F. Müller, Daniela S. Andrade, Leonhard Wachutka, Laure Frésard, Mirjana Gusic, Ines Scheller, Patricia F. Goldberg, Holger Prokisch, Julien Gagneur. Detection of aberrant events in RNA-seq data. Nature Protocols , 2021, PMID: 33462443 Sharedlt link.