Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Heinz Koeppl"'
Autor:
Janice Kramat, Leon Kraus, Vincent J. Gunawan, Elias Smyej, Philipp Froehlich, Tim E. Weber, Dieter Spiehl, Heinz Koeppl, Andreas Blaeser, Beatrix Suess
Publikováno v:
Biosensors, Vol 14, Iss 1, p 56 (2024)
To combat the growing threat of antibiotic resistance, environmental testing for antibiotic contamination is gaining an increasing role. This study aims to develop an easy-to-use assay for the detection of the fluoroquinolone antibiotic levofloxacin.
Externí odkaz:
https://doaj.org/article/7de6e36edc3d4298848c981a586a1fb9
Publikováno v:
IEEE Access, Vol 9, Pp 93237-93247 (2021)
This work focuses on sequence learning to improve the daily routine recognition in hearing aids (HA), where the goal is to personalize the device configuration for each user. We apply the sequence methods on two large real-world data sets. One public
Externí odkaz:
https://doaj.org/article/c1ee4a1473ae430c88d56db2812f1906
Autor:
Michael Klann, Heinz Koeppl
Publikováno v:
International Journal of Molecular Sciences, Vol 13, Iss 6, Pp 7798-7827 (2012)
Cells are highly organized objects containing millions of molecules. Each biomolecule has a specific shape in order to interact with others in the complex machinery. Spatial dynamics emerge in this system on length and time scales which can not yet b
Externí odkaz:
https://doaj.org/article/b4461c444b8445aebf16f07701fe73d9
Publikováno v:
Electronic Proceedings in Theoretical Computer Science, Vol 40, Iss Proc. MeCBIC 2010, Pp 142-161 (2010)
The induction of a signaling pathway is characterized by transient complex formation and mutual posttranslational modification of proteins. To faithfully capture this combinatorial process in a mathematical model is an important challenge in systems
Externí odkaz:
https://doaj.org/article/46c908f28c4741cd9e0370de0ab25204
Autor:
Christoph Zechner, Heinz Koeppl
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 12, p e1003942 (2014)
The dynamics of stochastic reaction networks within cells are inevitably modulated by factors considered extrinsic to the network such as, for instance, the fluctuations in ribosome copy numbers for a gene regulatory network. While several recent stu
Externí odkaz:
https://doaj.org/article/f334089bf1c94600a0ca6353928c35c3
Spatial modeling of vesicle transport and the cytoskeleton: the challenge of hitting the right road.
Publikováno v:
PLoS ONE, Vol 7, Iss 1, p e29645 (2012)
The membrane trafficking machinery provides a transport and sorting system for many cellular proteins. We propose a mechanistic agent-based computer simulation to integrate and test the hypothesis of vesicle transport embedded into a detailed model c
Externí odkaz:
https://doaj.org/article/b8917e585953448e9c99f97c681da583
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 3, p e1002419 (2012)
In mammals, the suprachiasmatic nucleus (SCN) of the hypothalamus constitutes the central circadian pacemaker. The SCN receives light signals from the retina and controls peripheral circadian clocks (located in the cortex, the pineal gland, the liver
Externí odkaz:
https://doaj.org/article/9fcc6b75d3464e43860b2f20d80171e9
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 10, p e1000534 (2009)
To characterize the behavior and robustness of cellular circuits with many unknown parameters is a major challenge for systems biology. Its difficulty rises exponentially with the number of circuit components. We here propose a novel analysis method
Externí odkaz:
https://doaj.org/article/9df414a1acb24f079fdc6226e5e74522
Publikováno v:
IEEE Control Systems Letters. 7:877-882
The field of multi-agent reinforcement learning (MARL) has made considerable progress towards controlling challenging multi-agent systems by employing various learning methods. Numerous of these approaches focus on empirical and algorithmic aspects o
Autor:
Wadim Weber, Markus Roeder, Tobias Probanowski, Jie Yang, Helal Abujubara, Heinz Koeppl, Alesia Tietze, Viktor Stein
Publikováno v:
ACS Synthetic Biology. 11:2070-2079