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An explainable model of host genetic interactions linked to COVID-19 severity
We employed a multifaceted computational strategy to identify the genetic factors contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing (WES) dataset of a cohort of 2000 Italian patients. We coupled a stratified k-fold screening, to rank variants more associated w...
Autores principales: | Onoja, Anthony, Picchiotti, Nicola, Fallerini, Chiara, Baldassarri, Margherita, Fava, Francesca, Colombo, Francesca, Chiaromonte, Francesca, Renieri, Alessandra, Furini, Simone, Raimondi, Francesco |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606365/ https://www.ncbi.nlm.nih.gov/pubmed/36289370 http://dx.doi.org/10.1038/s42003-022-04073-6 |
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