Sentence examples for probabilities underlying from inspiring English sources

Genome-wide examinations of nucleosome positioning in model organisms [ 1– 10], as well as in humans [ 11– 16], have uncovered a variety of associations among nucleosome positioning and spacing probabilities, underlying DNA sequence composition, histone modification, TSS distribution, gene expression, and rates of mutagenesis and repair in various tissue types in different organisms.

P trans I i, I s = β × Inf I i × Susc I s × AVF I i, I s × Vaccine I s Each factor contributing to the transmission probability (underlying transmissibility β, time-varying transmissibility Inf(I i ), age-based susceptibility Susc(I s ), antiviral effectiveness AVF(I i, I s ), and vaccine effectiveness Vaccine(I s )) is described in detail in [ 15, 28] and Additional file 1.

Using sequences of noisy observed data, hidden Markov models are a powerful method for assigning probabilities to underlying hidden states.

Clinical decision making has to rely on disease distributions and probabilities of underlying aetiologies and the expected course of disease, as well as the nature and pattern of symptoms.

Associations between covariates and prevalence of multiple causes of death and conditional probability of underlying compared to non-underlying causes of death are examined.

"But a pattern of decisions that may reasonably be considered poor, at the time or with hindsight, suggests the probability of underlying deficiencies in: a bank's management capabilities and style; governance arrangements; checks and balances; mechanisms for oversight and challenge; and in its culture, particularly its attitude to the balance between risk and growth".

In addition, the model, which is designed for rare events, has been proposed to identify the probability and underlying root cause of derailment.

In [23], Patwari et al. applied maximum likelihood estimation techniques to approximate a node's relative location, but the accuracy of the approximations (and the validity of the derived lower Cramer-Rao bounds) depends on having complete pairwise distances for all the nodes and knowledge of the probability distribution underlying the observed data.

The methods are based on the estimation of the probability distributions underlying the ensembles and subsequent comparison of these distributions.

The methods are all based on the idea that two ensembles can be compared by estimating the probability densities underlying the ensembles.

Clinical and biomarker information is used in conjunction to modify the probability of underlying AD pathophysiology.