Zobrazeno 1 - 10
of 569
pro vyhledávání: '"Morger A"'
Publikováno v:
In Engineering Structures 15 December 2022 273
Publikováno v:
In Engineering Structures 15 November 2022 271
Autor:
Morger, Fabia Hultin
Publikováno v:
tekst i dyskurs – text und diskurs / text and discourse. (16):277-301
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1094385
Autor:
Andrea Morger, Marina Garcia de Lomana, Ulf Norinder, Fredrik Svensson, Johannes Kirchmair, Miriam Mathea, Andrea Volkamer
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Machine learning models are widely applied to predict molecular properties or the biological activity of small molecules on a specific protein. Models can be integrated in a conformal prediction (CP) framework which adds a calibration step t
Externí odkaz:
https://doaj.org/article/9640412f156b4083ba647cd502b86051
Publikováno v:
Structural Concrete; Dec2024, Vol. 25 Issue 6, p4283-4299, 17p
Autor:
Klutzny, Saskia, Kornhuber, Marja, Morger, Andrea, Schönfelder, Gilbert, Volkamer, Andrea, Oelgeschläger, Michael, Dunst, Sebastian
Publikováno v:
In Environment International January 2022 158
Autor:
Andrea Morger, Fredrik Svensson, Staffan Arvidsson McShane, Niharika Gauraha, Ulf Norinder, Ola Spjuth, Andrea Volkamer
Publikováno v:
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-14 (2021)
Abstract Machine learning methods are widely used in drug discovery and toxicity prediction. While showing overall good performance in cross-validation studies, their predictive power (often) drops in cases where the query samples have drifted from t
Externí odkaz:
https://doaj.org/article/8fe425216aae4b26b97229dddbe63ab8
Autor:
Andrea Morger, Miriam Mathea, Janosch H. Achenbach, Antje Wolf, Roland Buesen, Klaus-Juergen Schleifer, Robert Landsiedel, Andrea Volkamer
Publikováno v:
Journal of Cheminformatics, Vol 12, Iss 1, Pp 1-17 (2020)
Abstract Risk assessment of newly synthesised chemicals is a prerequisite for regulatory approval. In this context, in silico methods have great potential to reduce time, cost, and ultimately animal testing as they make use of the ever-growing amount
Externí odkaz:
https://doaj.org/article/e4aa961fd8df42b29145d5bd1a6dc7ad
Autor:
Saskia Klutzny, Marja Kornhuber, Andrea Morger, Gilbert Schönfelder, Andrea Volkamer, Michael Oelgeschläger, Sebastian Dunst
Publikováno v:
Environment International, Vol 158, Iss , Pp 106947- (2022)
Background: Exposure to environmental chemicals that interfere with normal estrogen function can lead to adverse health effects, including cancer. High-throughput screening (HTS) approaches facilitate the efficient identification and characterization
Externí odkaz:
https://doaj.org/article/92c737196a274e44bc84e57d624e9852
Autor:
Krannich, Maike, Goetz, Thomas, Lipnevich, Anastasiya A., Bieg, Madeleine, Roos, Anna-Lena, Becker, Eva S., Morger, Vinzenz
Publikováno v:
In Learning and Individual Differences January 2019 69:206-218