Proteo-genomic characterization of virus-associated liver cancers reveals potential subtypes and therapeutic targets

HIGHLIGHTS

• who: Masashi Fujita from the split into , subsetsNine of them were used for training, the remaining one was used for testing, and this process was repeated , times to compute the average prediction accuracy. Naive Bayes classifier was trained to predict subclasses, and , from protein expression levels. Its average prediction accuracy was high (91.5%). When k-nearest neighbor classifier was used as a prediction model, it also showed high prediction accuracy (91.1% have published the article: Proteo-genomic characterization of virus-associated liver cancers reveals potential subtypes and therapeutic targets, in the Journal: (JOURNAL) of 19 . . .
  

   

  

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