Sentence examples for most predicting algorithms from inspiring English sources

Estimations of sensitivity and specificity are available for most predicting algorithms [27].

First, most function prediction algorithms can predict protein functions with 50% 75% accuracy, which may not be of practical use for biologists.

The accurate prediction of the topology is a crucial step in the 3D structure prediction process, since most 3D prediction algorithms start from the predicted topologies.

Still no single algorithm emerges as the best performer [ 12], and most algorithms predict thousands of targets for each miRNA [ 13].

As discussed previously [ 4, 16], although most algorithms predict a β-strand at the C-terminus of the protein, deletion analysis [ 15] suggests that this is not the case (see Fig. 4).

Most clustering algorithms predict better than Neighborhood once 90% of the annotations are deleted.

Most computational algorithms predict miRNA targets on the basis of sequence complementarity and/or thermostability (Lewis et al, 2003; John et al, 2004).

Most algorithms for predicting complex structure consist of two stages: sampling and scoring.

This leads to more versatility in miRNA regulation of specific targets and, more importantly, may fail to be predicted by the most common algorithms designed to detect miRNA binding sites in the 3' UTR [ 11].

Intelligent agents learn the most appropriate algorithm to predict e-inclusion degree of student based on linear regression or cluster analysis.

The authors also estimated what would be the most appropriate algorithm to predict the warfarin dose for this group of patients.