Identification of angiogenesis-related genes in diabetic foot ulcer using machine learning algorithms.

ABSTRACT:

Background

Diabetic foot ulcers (DFUs) are among the most prevalent and dangerous complications of diabetes. Angiogenesis is pivotal for wound healing; however, its role in the chronic wound healing process in DFU requires further investigation. We aimed to investigate the pathogenic processes of angiogenesis in DFU from a molecular biology standpoint and to offer insightful information about DFU prevention and therapy.

Methods

Differential gene and weighted gene co-expression network analyses (WGCNA) were employed to screen for genes related to DFU using the downloaded and collated GSES147890 datasets. With the goal of identifying hub genes, an interaction among proteins (PPI) network was constructed, and enrichment analysis was carried out. Utilizing a variety of machine l

SUBMITTER: Wang X 

PROVIDER: S-EPMC10703730 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature