【卵巢】整合加權基因共表達網路分析和ML，識別多囊性卵巢症候群的生物標記和標靶

 【卵巢】整合加權基因共表達網路分析和機器學習，識別多囊性卵巢症候群的新型生物標記和治療標靶

 文章出處  

 European Journal of Medical Research 

 

 原文標題  

Integrated weighted gene co-expression network analysis and machine learning analysis identifies SEC14L5 as a potential biomarker for polycystic ovary syndrome 

 

 文章序號  

11150 

 

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