Exploration of comorbidity mechanisms and potential therapeutic targets of rheumatoid arthritis and pigmented villonodular synovitis using machine learning and bioinformatics analysis

HIGHLIGHTS

• who: . et al. from the University of Nebraska Medical Center, United States have published the article: Exploration of comorbidity mechanisms and potential therapeutic targets of rheumatoid arthritis and pigmented villonodular synovitis using machine learning and bioinformatics analysis, in the Journal: (JOURNAL)
• how: After normalizing the GSE3698 dataset (The normalized boxplots of the dataset were shown in Supplementary Figure S1) 107 differentially expressed genes were identified consisting of 60 up-regulated and 47 down-regulated genes. The AUC values for PLIN PPAP2A TYROBP and nomoscore were diagnostically effective . Initially the expression differences of 28 immune infiltrating . . .
  

   

  

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