文章标题：Machine learning combined with WGCNA reveals potential calcium uptake-associated biomarkers in Parkinson’s disease
作者列表：Wangzhouyang Lou, Juqin Wu
影响因子：1.8
期刊：ANNALS OF HUMAN BIOLOGY
发表时间：2026-5-13
DOI:10.1080/03014460.2026.2661601
文献主题：Abstract
Background
Parkinson’s disease (PD) is the second most common neurodegenerative disease, characterised by progressive loss of dopaminergic neurons in the substantia nigra pars compacta. Although previous studies have suggested a correlation between calcium signal disruption and the development of PD, the role of genes associated with store-operated calcium entry (SOCE) in PD remains unclear.
Aim
To combine machine learning methods with Weighted Gene Co-expression Network Analysis (WGCNA) to systematically screen and identify SOCE-associated candidate genes and evaluate their potential for assisting in discrimination.
