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Julian D. Schwab
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2020 – today
- 2024
- [j9]Felix M. Weidner
, Nensi Ikonomi
GatekeepR: an R Shiny application for the identification of nodes with high dynamic impact in Boolean networks. Bioinform. 40(1) (2024) - 2023
- [j8]Axel Fürstberger
AMBAR - Interactive Alteration annotations for molecular tumor boards. Comput. Methods Programs Biomed. 240: 107697 (2023) - [j7]Felix M. Weidner, Julian D. Schwab, Sabine Wölk, Felix Rupprecht, Nensi Ikonomi, Silke D. Werle
Leveraging quantum computing for dynamic analyses of logical networks in systems biology. Patterns 4(3): 100705 (2023) - 2022
- [j6]Felix M. Weidner
Response to the letter to the editor: On the feasibility of dynamical analysis of network models of biochemical regulation. Bioinform. 38(14): 3676 (2022) - [j5]Christoph Müssel, Nensi Ikonomi
CANTATA - prediction of missing links in Boolean networks using genetic programming. Bioinform. 38(21): 4893-4900 (2022) - 2021
- [j4]Julian D. Schwab
Perspective on mHealth Concepts to Ensure Users' Empowerment-From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment. IEEE Access 9: 83863-83875 (2021) - [j3]Felix M. Weidner
Capturing dynamic relevance in Boolean networks using graph theoretical measures. Bioinform. 37(20): 3530-3537 (2021) - 2020
- [b1]Julian D. Schwab:
Modeling regulatory processes with qualitative networks. University of Ulm, Germany, 2020
2010 – 2019
- 2017
- [j2]Julian D. Schwab, Andre Burkovski, Lea Siegle, Christoph Müssel, Hans A. Kestler
ViSiBooL - visualization and simulation of Boolean networks with temporal constraints. Bioinform. 33(4): 601-604 (2017) - [j1]Patrick Meyer, Pallab Maity
A model of the onset of the senescence associated secretory phenotype after DNA damage induced senescence. PLoS Comput. Biol. 13(12) (2017)
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