Identification of crucial genes related to heart failure based on GEO database.

ABSTRACT:

Background

The molecular biological mechanisms underlying heart failure (HF) remain poorly understood. Therefore, it is imperative to use innovative approaches, such as high-throughput sequencing and artificial intelligence, to investigate the pathogenesis, diagnosis, and potential treatment of HF.

Methods

First, we initially screened Two data sets (GSE3586 and GSE5406) from the GEO database containing HF and control samples from the GEO database to establish the Train group, and selected another dataset (GSE57345) to construct the Test group for verification. Next, we identified the genes with significantly different expression levels in patients with or without HF and performed functional and pathway enrichment analyses. HF-specific genes were identified, and an artificial

SUBMITTER: Chen Y 

PROVIDER: S-EPMC10385922 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature