Prediction of target genes in community-acquired pneumonia based on the bioinformatics method.

ABSTRACT:

Background

To screen the related genes of community-acquired pneumonia (CAP) by bioinformatics technology, and to analyze the clinical value of key genes.

Methods

Gene chip data sets containing CAP patients and normal controls were screened from the Gene Expression Omnibus (GEO) database. The downregulated differentially expressed genes (DEGs) were screened using a gene expression analysis tool (GEO2R). Simultaneously, gene set enrichment analysis (GSEA) was used to explore the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and core genes related to CAP. The candidate genes were then intersected with the genes reported in Online Mendelian Inheritance in Man (OMIM), and the clinical value of these candidate genes was examined based on a literature search. Finally, the

SUBMITTER: Zuo Y 

PROVIDER: S-EPMC10267904 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature