Integrative transcriptomic and machine learning analyses identify NOL7 and TXLNA as candidate blood biomarkers for Parkinson’s disease within an RNA modification-associated co-expression network
Parkinson’s disease (PD) pathogenesis involves complex molecular mechanisms, with emerging evidence implicating RNA modifications (RM). This study sought to explore RM-associated key genes and their roles in PD progression. Transcriptomic datasets GSE6613 (training) and GSE72267 (validation) were analyze...