- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Learning from prepandemic data to forecast viral escape ; volume:622 ; number:7984 ; day:11 ; month:10 ; year:2023 ; pages:818-825 ; date:10.2023
Nature; 622, Heft 7984 (11.10.2023), 818-825, 10.2023
- Urheber
-
Thadani, Nicole N.
Gurev, Sarah
Notin, Pascal
Youssef, Noor
Rollins, Nathan J.
Ritter, Daniel
Sander, Chris
Gal, Yarin
Marks, Debora S.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41586-023-06617-0
- URN
-
urn:nbn:de:101:1-2024011511172267377885
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Thadani, Nicole N.
- Gurev, Sarah
- Notin, Pascal
- Youssef, Noor
- Rollins, Nathan J.
- Ritter, Daniel
- Sander, Chris
- Gal, Yarin
- Marks, Debora S.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Using machine learning to forecast domestic homicide via police data and super learning
Harnessing deep learning to forecast local microclimate using global climate data
The M-competition forecast data
The M-Competition forecast data
Aptamer displacement identifies alternative small molecule target sites that escape viral resistance
Viral escape from NK‐cell‐mediated immunosurveillance: A lesson for cancer immunotherapy?
Replicative Homeostasis: A fundamental mechanism mediating selective viral replication and escape mutation
Cis-regulatory decoy disrupts autorepression: a potential escape-resistant anti-viral therapy
Mutational escape from cellular immunity in viral hepatitis: variations on a theme
Forecast Density Combinations with Dynamic Learning for Large Data Sets in Economics and Finance
Forecast Density Combinations with Dynamic Learning for Large Data Sets in Economics and Finance
Testing investment forecast efficiency with textual data
Using machine learning to forecast domestic homicide via police data and super learning
Harnessing deep learning to forecast local microclimate using global climate data
The M-competition forecast data
The M-Competition forecast data
Aptamer displacement identifies alternative small molecule target sites that escape viral resistance
Viral escape from NK‐cell‐mediated immunosurveillance: A lesson for cancer immunotherapy?
Replicative Homeostasis: A fundamental mechanism mediating selective viral replication and escape mutation
Cis-regulatory decoy disrupts autorepression: a potential escape-resistant anti-viral therapy
Mutational escape from cellular immunity in viral hepatitis: variations on a theme
Forecast Density Combinations with Dynamic Learning for Large Data Sets in Economics and Finance
Forecast Density Combinations with Dynamic Learning for Large Data Sets in Economics and Finance
Testing investment forecast efficiency with textual data
Using machine learning to forecast domestic homicide via police data and super learning
Harnessing deep learning to forecast local microclimate using global climate data
The M-competition forecast data
The M-Competition forecast data
Aptamer displacement identifies alternative small molecule target sites that escape viral resistance
Viral escape from NK‐cell‐mediated immunosurveillance: A lesson for cancer immunotherapy?
Replicative Homeostasis: A fundamental mechanism mediating selective viral replication and escape mutation
Cis-regulatory decoy disrupts autorepression: a potential escape-resistant anti-viral therapy
Mutational escape from cellular immunity in viral hepatitis: variations on a theme
Forecast Density Combinations with Dynamic Learning for Large Data Sets in Economics and Finance
Forecast Density Combinations with Dynamic Learning for Large Data Sets in Economics and Finance