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Table 1 Population state model parameters

From: Computational identification of adaptive mutants using the VERT system

Parameter

Value

State Transition

P AN ° = 0.154, P NA ° = 0.079

Adaptive Emission

P N = 0.102, P Z = 0.150, P P = 0.748

Non-adaptive Emission

P N = 0.434, P Z = 0.337, P P = 0.229

  1. An overview of the Markov parameters used by the population state model. The emission probabilities in the non-adaptive state reflect the symmetry of the slope distribution in the control data and the adaptive emissions are heavily biased towards positive slopes as expected. In addition, the state transition probabilities indicate that entry into and exit from adaptive events is relatively uncommon in the training data.
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Journal of Biological Engineering

ISSN: 1754-1611