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Using the 'leave-one-out'-predicted probabilities to create a receiver operating characteristic curve, the AUC was calculated as 0.608 955% CI: 0.527 0.688).
We then picked a random sequence of three nucleotides from the original sequence as our starting point and generated a random walk, given the transition probabilities, to create a new random sequence the same length as the original sequence.
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Therefore, the probability to create resistance against 1 drug is independent of the death rate.
The probability of creating resistance before the start of treatment is defined by the probability to have at least one 1-hit mutant at a given colony size, which is given by (probability to create a mutant) x (probability for a mutant clone to survive).The probability to create a mutant clone is proportional to the number of cell divisions.
The probability to create a double mutant at each division is proportional to the probability that a 1-hit mutant (and not a wild-type) cell divides.
In other words, among all cycling cells, the percentage of mutants increases with α, and so does the probability to create 2-hit mutants.
Hence this reactivation may lead to transposition burst, which will increase (through transposition or recombination) adaptability, genetic diversity, and probability to create beneficial/adaptive alleles [ 8].
In turn, these probabilities were used to create survivorship curves.
In probabilistic protein design, positional amino acid probabilities are used to create a random library of sequences to be simultaneously screened for biological activity.
Each walking path has been assigned with a different probability in order to create hotspots along the simulation where network congestions may occur.
We used a threshold site-specific recombination probability of 0.9 to create recombination breakpoints from ClonalFrame and ClonalOrigin output.
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