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pro vyhledávání: '"Gehri, Maximilian"'
The mutual information (MI) of Poisson-type channels has been linked to a filtering problem since the 70s, but its evaluation for specific continuous-time, discrete-state systems remains a demanding task. As an advantage, Markov renewal processes (Mr
Externí odkaz:
http://arxiv.org/abs/2403.15221
A minimal model for gene expression, consisting of a switchable promoter together with the resulting messenger RNA, is equivalent to a Poisson channel with a binary Markovian input process. Determining its capacity is an optimization problem with res
Externí odkaz:
http://arxiv.org/abs/2101.01607
Akademický článek
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Autor:
Kubaczka E; Department of Electrical Engineering and Information Technology, TU Darmstadt, Darmstadt, 64283, Germany., Gehri M; Department of Electrical Engineering and Information Technology, TU Darmstadt, Darmstadt, 64283, Germany., Marlhens JJM; Department of Electrical Engineering and Information Technology, TU Darmstadt, Darmstadt, 64283, Germany.; Graduate School Life Science Engineering, TU Darmstadt, Darmstadt, 64283, Germany., Schwarz T; Department of Electrical Engineering and Information Technology, TU Darmstadt, Darmstadt, 64283, Germany., Molderings M; Department of Electrical Engineering and Information Technology, TU Darmstadt, Darmstadt, 64283, Germany.; Graduate School Life Science Engineering, TU Darmstadt, Darmstadt, 64283, Germany., Engelmann N; Department of Electrical Engineering and Information Technology, TU Darmstadt, Darmstadt, 64283, Germany., Garcia HG; UC Berkeley,CA 924720, USA.; Department of Molecular and Cell Biology, UC Berkeley, CA 924720, USA.; Chan Zuckerberg Biohub, UC Berkeley, CA 924720, USA., Hochberger C; Department of Electrical Engineering and Information Technology, TU Darmstadt, Darmstadt, 64283, Germany.; Centre for Synthetic Biology, TU Darmstadt, Darmstadt, 64283, Germany., Koeppl H; Department of Electrical Engineering and Information Technology, TU Darmstadt, Darmstadt, 64283, Germany.; Centre for Synthetic Biology, TU Darmstadt, Darmstadt, 64283, Germany.
Publikováno v:
BioRxiv : the preprint server for biology [bioRxiv] 2024 Sep 24. Date of Electronic Publication: 2024 Sep 24.
