Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Lukas Refisch"'
Autor:
Florian Becker, Simon Fuchs, Lukas Refisch, Friedel Drepper, Wolfgang Bildl, Uwe Schulte, Shuo Liang, Jonas Immanuel Heinicke, Sierra C Hansen, Clemens Kreutz, Bettina Warscheid, Bernd Fakler, Evgeny V Mymrikov, Carola Hunte
Publikováno v:
eLife, Vol 12 (2023)
Calcineurin B homologous protein 3 (CHP3) is an EF-hand Ca2+-binding protein involved in regulation of cancerogenesis, cardiac hypertrophy, and neuronal development through interactions with sodium/proton exchangers (NHEs) and signalling proteins. Wh
Externí odkaz:
https://doaj.org/article/bdcb900445214a9b841db465955cec1f
Autor:
Lukas Refisch, Fabian Lorenz, Torsten Riedlinger, Hannes Taubenböck, Martina Fischer, Linus Grabenhenrich, Martin Wolkewitz, Harald Binder, Clemens Kreutz
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-13 (2022)
Abstract Background The COVID-19 pandemic has led to a high interest in mathematical models describing and predicting the diverse aspects and implications of the virus outbreak. Model results represent an important part of the information base for th
Externí odkaz:
https://doaj.org/article/b1513cf3ae79452e80ea89648a04a71c
Autor:
Leonard Schmiester, Yannik Schälte, Frank T Bergmann, Tacio Camba, Erika Dudkin, Janine Egert, Fabian Fröhlich, Lara Fuhrmann, Adrian L Hauber, Svenja Kemmer, Polina Lakrisenko, Carolin Loos, Simon Merkt, Wolfgang Müller, Dilan Pathirana, Elba Raimúndez, Lukas Refisch, Marcus Rosenblatt, Paul L Stapor, Philipp Städter, Dantong Wang, Franz-Georg Wieland, Julio R Banga, Jens Timmer, Alejandro F Villaverde, Sven Sahle, Clemens Kreutz, Jan Hasenauer, Daniel Weindl
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 1, p e1008646 (2021)
Reproducibility and reusability of the results of data-based modeling studies are essential. Yet, there has been-so far-no broadly supported format for the specification of parameter estimation problems in systems biology. Here, we introduce PEtab, a
Externí odkaz:
https://doaj.org/article/c3dd6d0bbd004deaba2fc5b1d5df8992
Autor:
Marlon Grodd, Lukas Refisch, Fabian Lorenz, Martina Fischer, Matthäus Lottes, Maren Hackenberg, Clemens Kreutz, Linus Grabenhenrich, Harald Binder, Martin Wolkewitz
Publikováno v:
Medizinische Klinik - Intensivmedizin und Notfallmedizin. 118:125-131
Hintergrund: Zeitdynamische Prognosemodelle spielen eine zentrale Rolle zur Steuerung von intensivmedizinischen COVID-19-Kapazitäten im Pandemiegeschehen. Ein wichtiger Vorhersagewert (Prädiktor) für die zukünftige intensivmedizinische (ITS-)COVI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::856123782b31d57a1163846d2d2abc67
https://doi.org/10.1007/s00063-022-00903-x
https://doi.org/10.1007/s00063-022-00903-x
Autor:
Florian Becker, Simon Fuchs, Lukas Refisch, Friedel Drepper, Wolfgang Bildl, Uwe Schulte, Shuo Liang, Jonas Immanuel Heinicke, Sierra C. Hansen, Clemens Kreutz, Bettina Warscheid, Bernd Fakler, Evgeny V. Mymrikov, Carola Hunte
Calcineurin B homologous protein 3 (CHP3) is an EF-hand Ca2+-binding protein involved in regulation of cancerogenesis, cardiac hypertrophy and neuronal development via interactions with sodium/proton exchangers (NHEs) and signalling proteins. CHP3 bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1138dba720efa11187a21d91ef2e963b
https://doi.org/10.1101/2022.09.23.509142
https://doi.org/10.1101/2022.09.23.509142
Autor:
Marlon, Grodd, Lukas, Refisch, Fabian, Lorenz, Martina, Fischer, Matthäus, Lottes, Maren, Hackenberg, Clemens, Kreutz, Linus, Grabenhenrich, Harald, Binder, Martin, Wolkewitz
Publikováno v:
Medizinische Klinik, Intensivmedizin und Notfallmedizin.
Time-series forecasting models play a central role in guiding intensive care coronavirus disease 2019 (COVID-19) bed capacity in a pandemic. A key predictor of future intensive care unit (ICU) COVID-19 bed occupancy is the number of new severe acute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::b9d7c97ac677697959b8b290d5d56fec
https://pubmed.ncbi.nlm.nih.gov/35267045
https://pubmed.ncbi.nlm.nih.gov/35267045
Autor:
Hannes Taubenböck, Harald Binder, Fabian Lorenz, Martina Fischer, Clemens Kreutz, Lukas Refisch, Linus Grabenhenrich, Martin Wolkewitz, Torsten Riedlinger
BackgroundThe COVID-19 pandemic has led to a high interest in mathematical models describing and predicting the diverse aspects and implications of the virus outbreak. Model results represent an important part of the information base for the decision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c5f84c773bab1cab20c9d1c892fc1e8
https://doi.org/10.1101/2021.06.21.21257586
https://doi.org/10.1101/2021.06.21.21257586