提供者：上海雅吉生物科技有限公司 发布时间：2026/10/22 8:41:33 阅读次数：7次 进入该公司店铺
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.
① 凡本网注明"来源：阿仪网"的所有作品，版权均属于阿仪网，未经本网授权不得转载、摘编或利 用其它方式使用。已获本网授 权的作品，应在授权范围内使用，并注明"来源：阿仪网"。违者本网将追究相关法律责任。
② 本信息由注册会员：上海雅吉生物科技有限公司发布并且负责版权等法律责任。
版权声明