Machine learning to construct sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with uveal melanoma

HIGHLIGHTS

  • who: Hao Chi et al. from the Nanchang University, China have published the research: Machine learning to construct sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with uveal melanoma, in the Journal: (JOURNAL)
  • what: The authors aimed to demonstrate the value of 4-SMGs for assessing the prognosis of UVM patients through a comprehensive analysis of genomic data, and to develop new tools to improve treatment options. Although the study has greater clinical implications for the prognostic assessment and selection of treatment options for patients with UVM, the study still . . .

     

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