The specific results of differential expression analysis are shown in S1 Appendix.

The specific results of differential expression analysis are shown in S1 Appendix.

<p>The specific results of differential expression analysis are shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0294984#pone.0294984.s001" target="_blank">S1 Appendix</a>.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Guanghao Xin (17583227) (author)
مؤلفون آخرون:	Jingyan Niu (17583230) (author), Qinghua Tian (614031) (author), Yanchi Fu (17583233) (author), Lixia Chen (614030) (author), Tingting Yi (238503) (author), Kuo Tian (13148082) (author), Xuesong Sun (424554) (author), Na Wang (193263) (author), Jianjian Wang (288375) (author), Huixue Zhang (614029) (author), Lihua Wang (14548) (author)
منشور في:	2023
الموضوعات:	Cell Biology Genetics Ecology Immunology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified independent external datasets differential expression analysis current diagnostic methods cerna regulatory network biological functions associated hub genes (< parkinson &# 8217 reliable diagnostic model logistic regression model joint diagnostic model categorical diagnostic model related hub genes common neurodegenerative disease three independent datasets study provides algorithmic 28 immune cells disease hub genes related parkinson ’ auc value greater parkinson ’ three genes research value related mechanisms related degs auc values disease patients disease based ttd </ ttc </ successfully constructed study aimed still limited ssgsea algorithm results suggest results indicate potential immune machine learning level support kegg enrichment immune function iars </ healthy individuals gsva algorithms good ability geo database four immune exact mechanism dlk </ dld </ certain level available treatments
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!