A novel high-throughput and label-free phenotypic drug screening approach: MALDI-TOF mass spectrometry combined with machine learning strategies
Gespeichert in:
| 1. Verfasser: | |
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| Dokumenttyp: | Buch/Monographie Hochschulschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
Heidelberg
09 Jun. 2020
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| DOI: | 10.11588/heidok.00028395 |
| Schlagworte: | |
| Online-Zugang: | Resolving-System, kostenfrei: https://nbn-resolving.de/urn:nbn:de:bsz:16-heidok-283950 Resolving-System, kostenfrei: http://dx.doi.org/10.11588/heidok.00028395 Verlag, kostenfrei, Volltext: http://www.ub.uni-heidelberg.de/archiv/28395 Resolving-System: https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-283950 Langzeitarchivierung Nationalbibliothek: https://d-nb.info/1211820904/34 Resolving-System: https://doi.org/10.11588/heidok.00028395 
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| Verfasserangaben: | presented by Luuk Nico van Oosten ; referees: Prof.Dr. Christian D. Klein, Prof.Dr. Jeroen Krijgsveld |
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| 245 | 1 | 2 | |a A novel high-throughput and label-free phenotypic drug screening approach |b MALDI-TOF mass spectrometry combined with machine learning strategies |c presented by Luuk Nico van Oosten ; referees: Prof.Dr. Christian D. Klein, Prof.Dr. Jeroen Krijgsveld |
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