Publikationen
Institut für Angewandte Simulation
-
Hollenstein, Lukas; Rinkel, Andreas,
2020.
Komplexe Dynamik mit Data Science und Simulation beherrschen.
Logistics Innovation.
2020(2),
S.42-44.
Verfügbar unter: https://doi.org/10.21256/zhaw-21453
-
Borčinová, Martina; Raschmanová, Hana; Zamora, Iwo; Looser, Verena; Marešová, Helena; Hirsch, Sven; Kyslík, Pavel; Kovar, Karin,
2020.
Production and secretion dynamics of prokaryotic Penicillin G acylase in Pichia pastoris.
Applied Microbiology and Biotechnology.
104(13),
S.5787-5800.
Verfügbar unter: https://doi.org/10.1007/s00253-020-10669-x
-
Silov, Serhii; Zaburannyi, Nestor; Anisimova, Maria; Ostash, Bohdan,
2020.
The use of the rare TTA codon in Streptomyces genes : significance of the codon context?.
Indian Journal of Microbiology.
61(1),
S.24-30.
Verfügbar unter: https://doi.org/10.1007/s12088-020-00902-6
-
Ostash, Bohdan; Anisimova, Maria,
2020.
Visualizing codon usage within and across genomes : concepts and tools
.
In:
Srinivasa, K. G.; Siddesh, G. M.; Manisekhar, S. R., Hrsg.,
Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications.
S.213-288.
Algorithms for Intelligent Systems.
Verfügbar unter: https://doi.org/10.1007/978-981-15-2445-5_13
-
Lao, Patrick J.; Vorburger, Robert S.; Narkhede, Atul; Gazes, Yunglin; Igwe, Kay C.; Colón, Juliet; Amarante, Erica; Guzman, Vanessa A.; Last, Briana S.; Habeck, Christian; Stern, Yaakov; Brickman, Adam M.,
2019.
Frontiers in Aging Neuroscience.
11(345).
Verfügbar unter: https://doi.org/10.3389/fnagi.2019.00345
-
Starostina, Tatiana; Hollenstein, Lukas,
2019.
Logistik mit Simulation sicher planen und optimieren.
Lebensmittel-Industrie: Fachmagazin für das Management der Nahrungsmittel- und Getränkeindustrie.
2019(11/12),
S.14-15.
Verfügbar unter: https://doi.org/10.21256/zhaw-20245
-
Michelucci, Umberto,
2019.
Advanced applied deep learning : convolutional neural networks and object detection.
1st edition.
Berkeley:
Apress.
ISBN 978-1-4842-4975-8.
-
Tørresen, Ole K; Star, Bastiaan; Mier, Pablo; Andrade-Navarro, Miguel A; Bateman, Alex; Jarnot, Patryk; Gruca, Aleksandra; Grynberg, Marcin; Kajava, Andrey V; Promponas, Vasilis J; Anisimova, Maria; Jakobsen, Kjetill S; Linke, Dirk,
2019.
Nucleic Acids Research.
47(21),
S.10994-11006.
Verfügbar unter: https://doi.org/10.1093/nar/gkz841
-
Detmer, Felicitas J.; Hadad, Sara; Chung, Bong Jae; Mut, Fernando; Slawski, Martin; Juchler, Norman; Kurtcuoglu, Vartan; Hirsch, Sven; Bijlenga, Philippe; Uchiyama, Yuya; Fujimura, Soichiro; Yamamoto, Makoto; Murayama, Yuichi; Takao, Hiroyuki; Koivisto, Timo; Frösen, Juhana; Cebral, Juan R.,
2019.
Neurosurgical Focus.
47(1).
Verfügbar unter: https://doi.org/10.3171/2019.4.FOCUS19145
-
Ulzega, Simone; Albert, Carlo,
2019.
Bayesian inference for solar dynamo models [Poster].
In:
1st Swiss “Workshop on Machine Learning for Environmental and Geosciences” (MLEG2019), Dübendorf, 16-17 January 2019.