Integrated bioinformatics and machine-learning screening for immune-related genes in diagnosing non-alcoholic fatty liver disease with ischemic stroke and rrs1 pan-cancer analysis

HIGHLIGHTS

  • who: TYPE and colleagues from the Nantong University, China have published the research: Integrated bioinformatics and machine-learning screening for immune-related genes in diagnosing non-alcoholic fatty liver disease with ischemic stroke and RRS1 pan-cancer analysis, in the Journal: (JOURNAL)
  • what: Pan-cancer analysis was conducted to assess the functions of biomarkers in cancer. In this study, six common immune-related candidate genes (PTGS2, FCGR1A, MMP9, VNN3, S100A12, and RRS1) for NAFLD and IS were identified via comprehensive bioinformatic analysis and machine_learning algorithms. The immune-related candidate genes identified in this study have . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?