Leveraging 16s rrna data to uncover vaginal microbial signatures in women with cervical cancer

HIGHLIGHTS

  • who: Ming Wu and colleagues from the University of Rochester, United States have published the Article: Leveraging 16S rRNA data to uncover vaginal microbial signatures in women with cervical cancer, in the Journal: (JOURNAL) of March/31,/2022
  • what: The predictive model was constructed using the 33 or 94 most important variables, which were further applied for receiver operating characteristic curve (ROC) analysis.The performance of the models was measured as area under curve (AUC) when applied to the test set, and the confidence intervals for ROC curves were calculated using the pROC R package . . .

     

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