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Identification of the susceptibility genes for COVID-19 in lung adenocarcinoma with global data and biological computation methods
INTRODUCTION: The risk of infection with COVID-19 is high in lung adenocarcinoma (LUAD) patients, and there is a dearth of studies on the molecular mechanism underlying the high susceptibility of LUAD patients to COVID-19 from the perspective of the global differential expression landscape. OBJECTIV...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605816/ https://www.ncbi.nlm.nih.gov/pubmed/34840672 http://dx.doi.org/10.1016/j.csbj.2021.11.026 |