Sentence examples for feature prediction from inspiring English sources

Protfun integrates results from several other protein feature prediction programmes to predict characteristics and functions of a protein based on its sequence [ 20].

First, the posterior probabilities derived from a phoneme classifier are concatenated with EMA features to provide a linguistic description of each frame for acoustic feature prediction.

A multitude of new applications in bioprocess technology strongly depend on model-based methods as they feature prediction and control capabilities.

In addition, our results show that the proposed methods for integrating linguistic representation and utilizing a cascaded prediction strategy can further improve the accuracy of acoustic feature prediction.

The use of a sequential cost function can be seen as a special case of multi-task learning where the error gradient of the delta and acceleration spectra prediction are used to help train the static feature prediction.

Feature prediction was performed in the genome using a suite of several programs.

These patterns demonstrate resilience of gap analysis deductive model processes to the type of remotely sensed or interpreted data used in habitat feature predictions.

We therefore believe that prediction of β-turns in general, can further improve immunological feature predictions.

GeneDB allows gene finding, protein feature predictions, and searches against customized and protein domain/families databases.

Finally, we used Phyre [ 16] for structural feature predictions, mainly transmembrane regions and secondary structure using three different algorithms.

For instance, the local sequence feature predictions are represented as single lines and aligned to the sequence.