Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships (RASAR) Outperforming Animal Test Reproducibility
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: Toxicological Sciences ; 165 (2018), 1. - S. 198-212. - ISSN 1096-6080. - eISSN 1096-0929
- Classification
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Biowissenschaften, Biologie
- Event
-
Veröffentlichung
- (where)
-
Konstanz
- (who)
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Bibliothek der Universität Konstanz
- (when)
-
2018
- Creator
- URN
-
urn:nbn:de:bsz:352-2-149wcgv6cisgi6
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:43 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Luechtefeld, Thomas
- Marsh, Dan
- Rowlands, Craig
- Hartung, Thomas
- Bibliothek der Universität Konstanz
Time of origin
- 2018
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Zur Entwicklung der Pockenschutzimpfung unter besonderer Berücksichtigung Thüringens im 18. und 19. Jahrhundert
Zur Entwicklung der Pockenschutzimpfung unter besonderer Berücksichtigung Thüringens im 18. und 19. Jahrhundert
Opinion versus evidence for the need to move away from animal testing
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