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pro vyhledávání: '"Lichterfeld, Daniel"'
An unprecedented use of high-throughput sequencing for routine monitoring of SARS-CoV-2 viruses in patient samples has created a dataset of over 6 million SARS-CoV-2 genomes. To monitor genomes, deposited in the GISAID database, and to track the cont
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A89162
https://ul.qucosa.de/api/qucosa%3A89162/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A89162/attachment/ATT-0/
Autor:
Williams, Elena, Niehaus, Sebastian, Reinelt, Janis, Merola, Alberto, Mihai, Paul Glad, Villringer, Kersten, Thierbach, Konstantin, Medawar, Evelyn, Lichterfeld, Daniel, Roeder, Ingo, Scherf, Nico, Hernández, Maria del C. Valdés
Machine learning algorithms underpin modern diagnostic-aiding software, which has proved valuable in clinical practice, particularly in radiology. However, inaccuracies, mainly due to the limited availability of clinical samples for training these al
Externí odkaz:
http://arxiv.org/abs/2112.03277