Machine learning, whole genome sequencing, and Mendelian randomization support a role of CRP on COVID-19 severity

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Machine learning, whole genome sequencing, and Mendelian randomization support a role of CRP on COVID-19 severity
Συγγραφείς:	Lantieri, Francesca^{Aff1, Aff2}, Croci, Stefania^Aff3, Decherchi, Sergio^Aff4, Rusmini, Marta^Aff2, Recchi, Giada^Aff5, Bonacini, Martina^Aff3, Ferrigno, Ilaria^Aff3, Rossi, Alessandro^Aff3, Castillo De Spelorzi, Yeraldin Chiquinquira^Aff6, Henzen, Edoardo^Aff6, Rosamilia, Francesca^Aff2, Cangelosi, Davide^Aff2, Landuzzi, Fabio^Aff7, Angius, Andrea^Aff8, Rallo, Vincenzo^Aff8, Mancuso, Pamela^Aff9, Pezzarossi, Annamaria^Aff9, Giorgi Rossi, Paolo^Aff9, Catanoso, Mariagrazia^Aff10, Gattorno, Marco^Aff5, Cavalli, Andrea^{Aff11, Aff12}, Meroni, Pier Luigi^Aff13, Vozzi, Diego^Aff6, Uva, Paolo^Aff2, Ceccherini, Isabella^{Aff14, IDs10020026015126_cor1}, Salvarani, Carlo^{Aff10, Aff15}
Πηγή:	Molecular Medicine. 32(1)
Βάση Δεδομένων:	Springer Nature Journals

Περιγραφή
ISSN:	15283658
DOI:	10.1186/s10020-026-01512-6