Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Adele de Hoffer"'
Autor:
Adele de Hoffer, Shahram Vatani, Corentin Cot, Giacomo Cacciapaglia, Maria Luisa Chiusano, Andrea Cimarelli, Francesco Conventi, Antonio Giannini, Stefan Hohenegger, Francesco Sannino
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Never before such a vast amount of data, including genome sequencing, has been collected for any viral pandemic than for the current case of COVID-19. This offers the possibility to trace the virus evolution and to assess the role mutations
Externí odkaz:
https://doaj.org/article/c48308a15a3a41e3ba643314968e9c98
Autor:
Adele de Hoffer, Shahram Vatani, Corentin Cot, Giacomo Cacciapaglia, Maria Luisa Chiusano, Andrea Cimarelli, Francesco Conventi, Antonio Giannini, Stefan Hohenegger, Francesco Sannino
Never before such a vast amount of data, including genome sequencing, has been collected for any viral pandemic than for the current case of COVID-19. This offers the possibility to trace the virus evolution and to assess the role mutations play in i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af409e9670146d541f5a5a79d3ac93d4
https://doi.org/10.21203/rs.3.rs-1110029/v1
https://doi.org/10.21203/rs.3.rs-1110029/v1
Autor:
Adele de Hoffer, Shahram Vatani, Corentin Cot, Giacomo Cacciapaglia, Maria Luisa Chiusano, Andrea Cimarelli, Francesco Conventi, Antonio Giannini, Stefan Hohenegger, Francesco Sannino
Applying a ML approach to the temporal variability of the Spike protein sequence enables us to identify, classify and track emerging virus variants. Our analysis is unbiased, in the sense that it does not require any prior knowledge of the variant ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6648eb0bc6f65cbc75400cef7c527f25
https://hal.archives-ouvertes.fr/hal-03314806
https://hal.archives-ouvertes.fr/hal-03314806
Autor:
Giacomo Cacciapaglia, Corentin Cot, Adele de Hoffer, Stefan Hohenegger, Francesco Sannino, Shahram Vatani
Publikováno v:
Cacciapaglia, G, Cot, C, de Hoffer, A, Hohenegger, S, Sannino, F & Vatani, S 2022, ' Epidemiological theory of virus variants ', Physica A: Statistical Mechanics and its Applications, vol. 596, 127071 . https://doi.org/10.1016/j.physa.2022.127071
We propose a physical theory underlying the temporal evolution of competing virus variants that relies on the existence of (quasi) fixed points capturing the large time scale invariance of the dynamics. To motivate our result we first modify the time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04bab74fb1d7944b01065c5dab13ab3f
http://arxiv.org/abs/2106.14982
http://arxiv.org/abs/2106.14982