Skip to main content

Table 2 Population state model error analysis

From: Computational identification of adaptive mutants using the VERT system

System

Description

TPA= A

TNN= N

FPA= N

FNN= A

C. albicans

Fluconazole challenge

0.213

0.598

0.108

0.082

E. coli

Butanol challenge

0.167

0.683

0.043

0.108

S. cerevisae

Glucose limitation

0.216

0.720

0.044

0.020

  1. Error rates are calculated by comparing the set of hidden states generated by the PSM to human annotation and then applying the translation method discussed in the model description. Model parameters were calculated with α = 0.10 for the statistical classifier. The preponderance of slow adaptive events in the E. coli chemostats accounts for the increased proportion of false negatives generated by the model. Overall, the PSM predictions agree quite well with the annotated data.