Academic Journal
Machine learning, whole genome sequencing, and Mendelian randomization support a role of CRP on COVID-19 severity
| Τίτλος: | Machine learning, whole genome sequencing, and Mendelian randomization support a role of CRP on COVID-19 severity |
|---|---|
| Συγγραφείς: | Lantieri, FrancescaAff1, Aff2, Croci, StefaniaAff3, Decherchi, SergioAff4, Rusmini, MartaAff2, Recchi, GiadaAff5, Bonacini, MartinaAff3, Ferrigno, IlariaAff3, Rossi, AlessandroAff3, Castillo De Spelorzi, Yeraldin ChiquinquiraAff6, Henzen, EdoardoAff6, Rosamilia, FrancescaAff2, Cangelosi, DavideAff2, Landuzzi, FabioAff7, Angius, AndreaAff8, Rallo, VincenzoAff8, Mancuso, PamelaAff9, Pezzarossi, AnnamariaAff9, Giorgi Rossi, PaoloAff9, Catanoso, MariagraziaAff10, Gattorno, MarcoAff5, Cavalli, AndreaAff11, Aff12, Meroni, Pier LuigiAff13, Vozzi, DiegoAff6, Uva, PaoloAff2, Ceccherini, IsabellaAff14, IDs10020026015126_cor1, Salvarani, CarloAff10, Aff15 |
| Πηγή: | Molecular Medicine. 32(1) |
| Βάση Δεδομένων: | Springer Nature Journals |
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