Identification of Key Genes and Molecular Pathways in Keratoconus: Integrating Text Mining and Bioinformatics Analysis.

ABSTRACT:

Purpose

To identify the potential key genes and molecular pathways associated with keratoconus and allergic disease.

Methods

The pubmed2ensembl database was used to identify the text mining genes (TMGs) collectively involved in keratoconus and allergic disease. The GeneCodis program was used to perform the Gene Ontology (GO) biological process and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of TMGs. The protein-protein interaction (PPI) network of the TMGs was established by STRING; the significant gene modules and hub genes of PPI were further performed using the Cytoscape software. The DAVID database was used to perform the GO and KEGG analyses of the significant module.

Results

In total, 98 TMGs collectively involved in keratoconus an

SUBMITTER: Hu D 

PROVIDER: S-EPMC9427295 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature