Construction and prognostic value of enhanced ct image omics model for noninvasive prediction of hrg in bladder cancer based on logistic regression and support vector machine algorithm

HIGHLIGHTS

• who: Qing Li and colleagues from the Skejby Sygehus, Denmark Bio-Medico University, Italy have published the research: Construction and prognostic value of enhanced CT image omics model for noninvasive prediction of HRG in bladder cancer based on logistic regression and support vector machine algorithm, in the Journal: (JOURNAL)
• what: The study showed that HRG expression had a close positive relationship with Eosinophils and a close negative relationship with B cells naive.
• how: The results showed that the Tumor group`s HRG expression levels were lower compared to the Normal group with the . . .
  

   

  

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