Author
Istituto Nazionale per le Malattie Infettive Lazzaro SpallanzaniORCID 0000-0003-2121-4684Unclaimed ORCID profile · follow to get notified of new preprints
3 papers
Recent·Most cited
Chiara Fallerini, Nicola Picchiotti, Margherita Baldassarri…·Pier Giorgio Scotton
The paper develops a machine learning model to predict COVID-19 severity using exonic variants from whole exome sequencing data, finding that variants across all frequency categories contribute to severity.
Margherita Baldassarri, Nicola Picchiotti, Francesca Fava…·Francesca Andretta
The paper identifies shorter androgen receptor polyQ alleles as protective against severe COVID-19 in males using machine learning on whole-exome sequencing data from the GEN-COVID cohort.
Elisa Benetti, Rossella Tita, Ottavia Spiga…·Carmelo Piscopo
The paper identifies ACE2 gene variants associated with interindividual variability in COVID-19 susceptibility in the Italian population using whole-exome-sequencing data.