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Table 4 Statistics for trees with different length of data representations

From: A maximum-likelihood approach for building cell-type trees by lifting

 

K=500

K=1000

K=5000

TPR

0.783

0.750

0.880

FPR

0.088

0.070

0.067

F

0.621

0.677

0.733

ACC

0.899

0.906

0.927

RF

0.700

1.300

0.400

  1. We simulate 10 random 12-leaf trees for varying number of data representation lengths (500, 1000 and 5000) and ran the lifting algorithm (for α=0.1). We then calculated the following statistics shown in the table: True positive rate (TPR), False positive rate (FPR), F-score or F 1-score (F), Accuracy (ACC), RF distance (RF)
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BMC Genomics

ISSN: 1471-2164

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