Sentence examples for a probability of change from inspiring English sources

As a simple model of DNA evolution, the Jukes-Cantor formula [33] is applied to estimate a probability of change for each base pair, with a customizable transition rate α (0.001 by default) and time t based on the edge weights.

The iGA procedure, which is based on hypergeometric statistic calculations, detects concerted changes in functional classes and assigns a probability of change (PC-values) to each functional class.

The difference between the two signal levels, relative to the variability between the multiple probes for each gene, yielded a probability of change due to chance alone.

The Jackknife was run with TNT [ 67] through 1000 replicates and the values were expressed as GC values (Groups present/contradicted) with a probability of change of 0.36, which is the default value assigned by the program.

Alternatively, if it is current in sleep state, then it will stay in in the next slot with a probability of and change into with.

Even with a moderate probability of change in CD4 count (mean 5% change in CD4 category) for a small number patients (low utilization office-based deployment scenario), the computer-delivered intervention was cost-effective as judged by the conventional benchmark of $50,000 per QALY (cost per QALY = $32,829; Table  6).

First, Olsson's theorem is proved against the backdrop of a dynamic model of reliability: the assessment of witness reliability, which in this model is represented as a probability of reliability, may change as we obtain more testimonies.

So, if something or someone is able to modify collective memory, there is a probability to change our conception of the past.

Our approach of assigning results in a projected 16-state model where the probability of change from a mismatch state to a match state is independent of the original (unobserved) mismatch.

Information in the form of possible changes or modifications along with a probability of shift between the changes is introduced before the model execution.

This approach is analogous to model-averaging and has proven useful as a means of estimating the posterior probability of change occurring along a given phylogenetic branch [ 99].