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pro vyhledávání: '"Komorowski Michał"'
Autor:
Komorowski, Michał K., Rykaczewski, Krzysztof, Piotrowski, Tomasz, Jurewicz, Katarzyna, Wojciechowski, Jakub, Keitel, Anne, Dreszer, Joanna, Duch, Włodzisław
Spectral fingerprints (SFs) are unique power spectra signatures of human brain regions of interest (ROIs, Keitel & Gross, 2016). SFs allow for accurate ROI identification and can serve as biomarkers of differences exhibited by non-neurotypical groups
Externí odkaz:
http://arxiv.org/abs/2110.09919
Publikováno v:
BMC Bioinformatics, Vol 10, Iss 1, p 343 (2009)
Abstract Background Fluorescent and luminescent gene reporters allow us to dynamically quantify changes in molecular species concentration over time on the single cell level. The mathematical modeling of their interaction through multivariate dynamic
Externí odkaz:
https://doaj.org/article/4de1e859536641a6869d7a725d99868c
Akademický článek
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Mathematical methods of information theory constitute essential tools to describe how stimuli are encoded in activities of signaling effectors. Exploring the information-theoretic perspective, however, remains conceptually, experimentally and computa
Externí odkaz:
http://arxiv.org/abs/1808.05581
Autor:
Komorowski, Michal, Trzcinski, Tomasz
Approximate nearest neighbour (ANN) search is one of the most important problems in computer science fields such as data mining or computer vision. In this paper, we focus on ANN for high-dimensional binary vectors and we propose a simple yet powerfu
Externí odkaz:
http://arxiv.org/abs/1708.02976
Autor:
Topolewski, Piotr, Komorowski, Michał
Publikováno v:
In Current Opinion in Systems Biology September 2021 27
Autor:
Finkenstädt, Bärbel, Woodcock, Dan J., Komorowski, Michal, Harper, Claire V., Davis, Julian R. E., White, Mike R. H., Rand, David A.
Publikováno v:
Annals of Applied Statistics 2013, Vol. 7, No. 4, 1960-1982
A central challenge in computational modeling of dynamic biological systems is parameter inference from experimental time course measurements. However, one would not only like to infer kinetic parameters but also study their variability from cell to
Externí odkaz:
http://arxiv.org/abs/1401.1640
Stochasticity is an indispensable aspect of biochemical processes at the cellular level. Studies on how the noise enters and propagates in biochemical systems provided us with nontrivial insights into the origins of stochasticity, in total however th
Externí odkaz:
http://arxiv.org/abs/1308.3103
The ability to represent intracellular biochemical dynamics via deterministic and stochastic modelling is one of the crucial components to move biological sciences in the observe-predict-control-design knowledge ladder. Compared to the engineering or
Externí odkaz:
http://arxiv.org/abs/1303.3109
Autor:
Komorowski, Michał, Trzciński, Tomasz
Publikováno v:
In Applied Soft Computing Journal June 2019 79:87-93