Table 1_Integrated identification of immune-related therapeutic targets for interstitial cystitis via multi-algorithm machine learning: transcriptomic profiling and in vivo experimental validation.docx

Table 1_Integrated identification of immune-related therapeutic targets for interstitial cystitis via multi-algorithm machine learning: transcriptomic profiling and in vivo experimental validation.docx

Background<p>Interstitial cystitis/bladder pain syndrome (IC/BPS) is a complex urological disorder characterized by chronic pelvic pain and urinary dysfunction, with limited diagnostic biomarkers and therapeutic options. Emerging evidence implicates immune microenvironment dysregulation in its...

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Bibliographic Details
Main Author: Yifan Wang (380120) (author)
Other Authors: Chuanzan Zhou (21775904) (author), Facai Zhang (10877958) (author), Yunkai Yang (12935327) (author), Jia Miao (3180309) (author), Xuanhan Hu (20878237) (author), Xinyu Zhang (14029) (author), Alin Ji (3514295) (author), Qi Zhang (28502) (author)
Published: 2025
Subjects:
Genetic Immunology
interstitial cystitis
machine learning
single-cell analysis
molecular dynamics simulation
in vivo experiment
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