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Machine learning-based approach KEVOLVE efficiently identif..:
Dylan Lebatteux
;
Hugo Soudeyns
;
Isabelle Boucoiran
..
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0296627&type=printable. , 2024
Link:
https://doi.org/10.1371/journal.pone.0296627
RT Journal T1 <Title>Machine learning-based approach KEVOLVE efficiently identifies SARS-CoV-2 variant-specific genomic signatures</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:0a6a7f766bbb42d3b2df4871e7bfc80d&Exemplar=1&LAN=DE A1 Dylan Lebatteux A1 Hugo Soudeyns A1 Isabelle Boucoiran A1 Soren Gantt A1 Abdoulaye Baniré Diallo PB Public Library of Science (PLoS) YR 2024 K1 Medicine K1 R K1 Science K1 Q JF https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0296627&type=printable LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0296627 DO https://doi.org/10.1371/journal.pone.0296627 SF ELIB - SuUB Bremen
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