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Development of a multiomics model for identification of pre..:
Byeon, Seul Kee
;
Madugundu, Anil K
;
Garapati, Kishore
...
The Lancet Digital Health. 4 (2022) 9 - p. e632-e645 , 2022
Link:
https://doi.org/10.1016/s2589-7500(22)00112-1
RT Journal T1
Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_s2589-7500(22)00112-1&Exemplar=1&LAN=DE A1 Byeon, Seul Kee A1 Madugundu, Anil K A1 Garapati, Kishore A1 Ramarajan, Madan Gopal A1 Saraswat, Mayank A1 Kumar-M, Praveen A1 Hughes, Travis A1 Shah, Rameen A1 Patnaik, Mrinal M A1 Chia, Nicholas A1 Ashrafzadeh-Kian, Susan A1 Yao, Joseph D A1 Pritt, Bobbi S A1 Cattaneo, Roberto A1 Salama, Mohamed E A1 Zenka, Roman M A1 Kipp, Benjamin R A1 Grebe, Stefan K G A1 Singh, Ravinder J A1 Sadighi Akha, Amir A A1 Algeciras-Schimnich, Alicia A1 Dasari, Surendra A1 Olson, Janet E A1 Walsh, Jesse R A1 Venkatakrishnan, A J A1 Jenkinson, Garrett A1 O'Horo, John C A1 Badley, Andrew D A1 Pandey, Akhilesh PB Elsevier BV YR 2022 SN 2589-7500 JF The Lancet Digital Health VO 4 IS 9 SP e632 OP e645 LK http://dx.doi.org/https://doi.org/10.1016/s2589-7500(22)00112-1 DO https://doi.org/10.1016/s2589-7500(22)00112-1 SF ELIB - SuUB Bremen
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