Sentence examples for most computational predictions from inspiring English sources
A main point of the current paper is that contrary to assumptions inherent in previous studies, most computational predictions of function are driven by the presence of multifunctionality.
Most terms lie in the upper half of the graph, which suggests that most computational predictions are correct.
This dataset has been used as a benchmark to test the performance of most computational phosphorylation prediction models previously published.
One of the most popular computational prediction methods for identifying interacting proteins utilizing the principle of correlated evolution is the mirrortree approach [ 21].
Currently, most computational phosphorylation site prediction procedures focus solely on local sequence characteristics.
However, most identified miRNAs are computational predictions, lacking experimental confirmation of their expression.
Most computational methods for complex prediction are clearly limited by the poor quality of high-throughput PPI data.
Considering that the seed match between miRNA and target is one of the most accurate predictors of miRNA targeting, and that most computational techniques for miRNA target predictions mainly rely on this information, we predicted targets based on this information alone for use in this study.
We observed that most computational techniques for miRNA target predictions start with the identification of potential targets based on the seed matching between miRNAs and mRNAs [ 17].
The elements of influenza pandemic risk assessment that are most amenable to computational prediction are those that correspond to well-defined, quantifiable molecular-scale traits such as receptor-binding preference, antiviral susceptibility, antigenicity of HA and NA, and possibly T-cell epitopes.
Most computational methods for GO term prediction are developed under a multi-class classification framework, where each GO term denotes a class and for each protein the probability of being member of that class is evaluated by the method.
