a Overview of all ranked configurations.
Table 12 presents the ranked configurations when considering the defined criteria, while Table 13 describes the components of the first and last configurations.
Ranking the configurations requires computing the posterior probabilities of all configurations, which can be expensive and even prohibitive.
Six improvements and combinations were modelled using a simulation model, identifying and ranking preferred configurations.
As the number of possible configurations, we rank the configurations according to the posterior probability of the cliques given the pairwise IBD relationships and select the top- k configurations, where k is small enough for the HMM.
D50 is a measurement of the diversity of an immune repertoire of J individuals (total number of CDR3s) composed of S distinct CDR3s in a ranked dominance configuration, where r1 is the abundance of the most abundant CDR3, r2 is the abundance of the second most abundant CDR3, and so on.
Moreover, the simulation result demonstrates that the electrostatic interaction energies combined with the distribution frequencies from BD simulations might be used as criteria in ranking the binding configuration of a scorpion toxin to the Kv1.3 channel.
The second configuration in the ranking is configuration 1, which shows a decrease in COA (0.002%) and decrease in cost (61.89%) when compared to the best-ranked configuration.
The second configuration in the ranking is configuration 38, which shows a reduction in reliability of 0.062% and a reduction in cost of 0.058% (USD 0.19), when compared to the best-ranked configuration.
If U c ( A c, E c, R c ) > U c ′ ( A c ′, E c ′, R c ′ ), then configuration C is ranked higher than configuration C′.
