Sentence examples for most probable base from inspiring English sources

ProbKnot (Bellaousov and Mathews, 2010) assembles structures composed of the most probable base pairs from base-pairing probabilities that do not consider pseudoknots.

In contrast to other aligners, the Slider algorithm uses not only the most probable base, but also all possible bases with a probability above a certain base probability threshold (baseMin Prb) provided by the Illumina probability files in order to generate all possible reads with probability above a certain read probability threshold (read_0_Min Prb).

In order to follow the time-varying characteristics of wind generation, multiple time dependent base forecasting models and an online model selection strategy are established, thus adaptively selecting the most probable base model for each prediction.

The results suggest that Asp255 is the most probable base catalyst.

By considering only the most probable base, these aligners give a large number of base mismatches that would otherwise be interpretable sequencing errors, resulting in a higher percentage of false positive SNPs.

Siri was able to map the contents of a question onto a domain of potential actions, then pick the action that seemed most probable, based on its understanding of the relationships between real-world concepts.

Utilizing quality values of only the most probable bases (Smith et al., 2008 ), partially reduces these unnecessarily false mismatches.

Essentially, statistical mechanics takes into account the possible states of a system and determines which is most probable based on the fluctuations in thermal energy of those states.

The latent class proportional hazards model allows for the presence of heterogeneity underlying any observed risk associations [ 16] and predicts optimal parameters based on the most probable substructure of the study population.

In order to speed up the process of optimal intra mode research, we exploit the gradient information, generated at the pre-processing stage, to limit the modes to be tested to only the most probable ones based on different probability scenarios.

A new sample with attribute values would be classified into the most probable class based on posterior probability and computed according to the Bayes theorem [31].