A deep learning approach predicting the activity of COVID-19 therapeutics and vaccines against emerging variants
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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A deep learning approach predicting the activity of COVID-19 therapeutics and vaccines against emerging variants ; volume:10 ; number:1 ; day:27 ; month:11 ; year:2024 ; pages:1-10 ; date:12.2024
npj Systems biology and applications ; 10, Heft 1 (27.11.2024), 1-10, 12.2024
- Urheber
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Matson, Robert P.
Comba, Isin Y.
Silvert, Eli
Niesen, Michiel J. M.
Murugadoss, Karthik
Patwardhan, Dhruti
Suratekar, Rohit
Goel, Elizabeth-Grace
Poelaert, Brittany J.
Wan, Kanny K.
Brimacombe, Kyle R.
Venkatakrishnan, AJ
Soundararajan, Venky
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41540-024-00471-0
- URN
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urn:nbn:de:101:1-2502122212364.778859882573
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
Datenpartner
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Beteiligte
- Matson, Robert P.
- Comba, Isin Y.
- Silvert, Eli
- Niesen, Michiel J. M.
- Murugadoss, Karthik
- Patwardhan, Dhruti
- Suratekar, Rohit
- Goel, Elizabeth-Grace
- Poelaert, Brittany J.
- Wan, Kanny K.
- Brimacombe, Kyle R.
- Venkatakrishnan, AJ
- Soundararajan, Venky
- SpringerLink (Online service)
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