Machine learning algorithms reveal potential mirnas biomarkers in gastric cancer

HIGHLIGHTS

• who: Hanieh Azari from the Metabolic Syndrome Research Center, Mashhad University have published the research: Machine learning algorithms reveal potential miRNAs biomarkers in gastric cancer, in the Journal: Scientific Reports Scientific Reports
• what: 29 miRNAs were identified using machine_learning algorithms, subsequent analyzes showed a panel of four miRNAs including hsa-miR-21, hsa-miR-133a, hsa-miR-146b, and hsa-miR-29c with high diagnostic and prognostic power, which was validated by several datasets.
• how: In the processing step important features were identified using heatmap analysis and five methods (SVM DTS RF Logistic . . .
  

   

  

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