Open AccessTranscriptomic clustering of critically ill COVID-19 patients
Author(s) -
Cecilia LópezMartínez,
Paula Martín-Vicente,
Juan Gómez de Oña,
Inés López-Alonso,
Helena GilPeña,
Elías CuestaLlavona,
Margarita Fernández-Rodríguez,
Irene Crespo,
Estefanía Salgado del Riego,
Raquel Rodríguez-García,
Diego Parra,
Javier de la Hera Fernández,
Javier RodríguezCarrio,
Francisco José Jimeno-Demuth,
Alberto Dávalos,
Luis A. Chapado,
Eliécer Coto,
Guillermo M. Albaiceta,
Laura AmadoRodríguez
Publication year - 2022
Publication title -
european respiratory journal/the european respiratory journal
Language(s) - English
Resource type - Journals
eISSN - 1399-3003
pISSN - 0903-1936
DOI - 10.1183/13993003.00592-2022
Subject(s) - covid-19 , critically ill , transcriptome , pandemic , cluster analysis , computational biology , intensive care medicine , medicine , biology , virology , computer science , artificial intelligence , infectious disease (medical specialty) , genetics , gene , gene expression , disease , outbreak