Sentence examples for using prior information to from inspiring English sources

However, no formal method exists for using prior information to guide the choice of θA.

Rare and common variants aimed weightings share, in common, the idea of using prior information to improve power, however they are different in the following aspects.

Our results show that using prior information to group rare variants is advantageous only when information is quite accurate, but the step-up approach works well across a broad range of plausible scenarios.

However, this requires a large number of partial correlation parameters to be estimated, and the resulting lack of parsimony is overcome by using prior information to greatly reduce the size and dimensionality of the sample space for W. The proposed model can estimate a range of localized spatial autocorrelation structures, as well as patterns that are globally smooth or independent in space.

Here, we used prior information to infer models with higher accuracy and predictive power compared to de novo models.

As we use prior information to improve power and resolution, the drawback is that the performance will not be optimal if the prior information is incorrect.

One can also use prior information to define the training dataset for a supervised method which uses this information in order to guide the inference engine for the prediction of new interactions [ 13].

Here we present a novel approach for detecting clonal and subclonal variants that exploits the power of a large sample set for precisely defining the local error rates and which uses prior information to call variants with high specificity and sensitivity.

Besides this discussion, there are two obvious advantages of using prior information at a post-processing step.

It also highlights the benefits of using prior information in order to locate critical spots in the design and in subsequent development of test plans.

The central hubs of protein interaction networks obtained using prior information were validated to establish confidence in the protein expression patterns.