整合生物信息学和机器学习方法探究肥厚型心肌病自噬相关机制及鉴定潜在的关键基因OACSTPCD
Integrating bioinformatics and machine learning methods to investigate autophagy-related mechanisms and identify potential key genes in hypertrophic cardiomyopathy
目的:自噬调节异常与肥厚型心肌病(hypertrophic cardiomyopathy,HCM)密切相关,然而其具体机制仍未阐明.本研究拟探究HCM自噬相关机制及鉴定潜在的关键基因.方法:对HCM患者和健康对照者(healthy controls,HC)的心肌组织转录谱数据进行生物信息学分析,包括自噬相关差异表达基因(differentially expressed genes,DEGs)的鉴定和富集分析,利用最小绝对收缩和选择算子(least…查看全部>>
Objective:Dysregulation of autophagy is closely associated with hypertrophic cardiomyopathy(HCM),yet its specific mechanisms remain unclear.This study aims to investigate the autophagy-related mechanisms in HCM and identify potential key genes. Methods:Transcriptomic data of myocardial tissues from HCM patients and healthy controls(HC)were analyzed using bioinformatics,including the identification and enrichment analysis of autophagy-related differentially e…查看全部>>
尤红俊;苟棋玲;董梦雅;赵倩倩;常凤军
陕西省人民医院心血管内科,西安 710068陕西省人民医院心血管内科,西安 710068陕西省人民医院心血管内科,西安 710068西安国际医学中心医院心肺康复科,西安 710100陕西省人民医院心血管内科,西安 710068
肥厚型心肌病生物信息学机器学习差异表达基因自噬关键基因
hypertrophic cardiomyopathybioinformaticsmachine learningdifferentially expressed genesautophagykey genes
《临床与病理杂志》 2024 (2)
147-156,10
陕西省人民医院科技发展孵化基金(2023YJY-63).This work was supported by the Science and Technology Development Incubation Fund of Shaanxi Provincial People's Hospital,China(2023YJY-63).
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