Sentence examples for predictions this approach from inspiring English sources

Although random library screening followed by PCR amplification and Gateway cloning is an excellent method to clone ORFs corresponding to more than half of the well-defined RefSeq predictions, this approach would be less efficient for the identification of "rare" ORFs.

As more powerful RNA structure prediction programs become available, particularly those reliant on phylogenetic information for structure prediction, this approach can be extended to larger RNA structures.

Although it is difficult to compare methods using different datasets for training and prediction, this approach appears to achieve a prediction accuracy similar to the one obtained by Siepen and coworkers (Siepen et al. 2003), which is based on the use of support vector machine (SVM) and decision trees.

Predictions from this approach were compared with the predictions from logistic regression models containing the same set of variables.

Examples of and predictions from this approach are given in the context of apoptosis.

Finite volume computational fluid dynamics (CFD) codes can assist with these predictions, but this approach is computationally expensive.

Good agreement is found between the predictions of this approach and the measurements reported in the literature.

Predictions using this approach of deflagration speeds in dusty aluminum-air gases agree well with experiments and show evidence of a maximum flame speed for a given mass loading.

Comparisons of predictions of this approach with the same models that make no use of the constrained-equilibrium assumption indicate that (a) the chain of reactions could be explicitly broken without compromising the fundamental elementary nature of the model, and (b) the use of the constrained-equilibrium assumption makes the model less sensitive to the missing pathways.

We functionally validate predictions from this approach by demonstrating metabolic phenotypes in knockout mice for three genes from the trans eQTL signature, Akr1b8, Emr1, and Rgs2.

No evidence has been provided that the predictions from this approach have been validated.