Article

Identification of key genes in SARS-CoV-2 patients on bioinformatics analysis

2020-08-11

Abstract excerpt

The COVID-19 pandemic has infected millions of people and overwhelmed many health systems globally. Our study is to identify differentially expressed genes (DEGs) and associated biological processes of COVID-19 using a bioinformatics approach to elucidate their potential pathogenesis. The gene expression profiles of the GSE152075 datasets were originally produced by using the high-throughput Illumina NextSeq 500....

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Literature Corpus work: 98428f83-1e51-54ba-80dc-0bc254ef7213
DOI: 10.1101/2020.08.09.243444

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