Transcriptomic clustering of critically ill COVID-19 patients | Zendy

Cecilia LópezMartínez | Zendy; Paula Martín-Vicente | Zendy; Juan Gómez de Oña | Zendy; Inés López-Alonso | Zendy; Helena GilPeña | Zendy; Elías CuestaLlavona | Zendy; Margarita Fernández-Rodríguez | Zendy; Irene Crespo | Zendy; Estefanía Salgado del Riego | Zendy; Raquel Rodríguez-García | Zendy; Diego Parra | Zendy; Javier Fernández | Zendy; Javier RodríguezCarrio | Zendy; Francisco José Jimeno-Demuth | Zendy; Alberto Dávalos | Zendy; Luis A. Chapado | Zendy; Eliécer Coto | Zendy; Guillermo M. Albaiceta | Zendy; Laura AmadoRodríguez | Zendy

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Transcriptomic 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 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

Language(s) - English

Resource type - Journals

eISSN - 1399-3003

pISSN - 0903-1936

DOI - 10.1183/13993003.00592-2022

Subject(s) - transcriptome , medicine , intensive care unit , cohort , microrna , disease , covid-19 , immune system , bioinformatics , immunology , gene , intensive care medicine , gene expression , biology , infectious disease (medical specialty) , genetics

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