Bioinformatics Approach Predicts Candidate Targets for SARS-CoV-2 Infections to COPD Patients

<div>The GO and KEGG enrichment analyses. (a) The BP-, CC-, and MF-related GO terms of 34 common DEG identification results. (b) The top 10 terms of KEGG analysis result of 34 common DEGs. The redder the bubble, the more genes are enriched.</div>

BioMed Research International

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Figure 2

Figure 2: Bioinformatics Approach Predicts Candidate Targets for SARS-CoV-2 Infections to COPD Patients 