Precision—Recall curves of each method and TPR/PPV compromise chosen by stability, mean stability and BIC when <i>n</i> = 100 after filtering the dataset to keep only species with prevalence higher than a given threshold.

مواد مشابهة

• Precision—Recall curves of each method and TPR/PPV compromise chosen by stability, mean stability and BIC when <i>n</i> = 1000 after filtering the dataset to keep only species with prevalence higher than a given threshold.
  حسب: Camille Champion (15238934)
  منشور في: (2024)
• Precision—Recall curves of each method and TPR/PPV compromise chosen by stability, mean stability and BIC when <i>n</i> = 500 after filtering the dataset to keep only species with prevalence higher than a given threshold.
  حسب: Camille Champion (15238934)
  منشور في: (2024)
• PPV—Stability and TPR—Stability curves of the edge set <i>E</i>^λ(0.90) according to the sample size and inference method.
  حسب: Camille Champion (15238934)
  منشور في: (2024)
• Precision—Recall curves of each inference method before equalizing the densities and TPR/PPV value obtained for λ^* corresponding to default stability criteria shown with a square (<i>n</i> = 100).
  حسب: Camille Champion (15238934)
  منشور في: (2024)
• Quality of both single-method and consensus network in terms of PPV/TPR assessed on 20 simulated datasets of size <i>n</i> = 100 samples.
  حسب: Camille Champion (15238934)
  منشور في: (2024)