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Among the hundreds of genes encoding miRNAs in plants reported, much more were predicted by numerous computational methods.
Several hundred genes encoding miRNAs in plants have been experimentally identified by the traditional Sanger sequencing method, and increasingly more are predicted by numerous computational methods.
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Although numerous computational methods have been developed over the years, a gold standard technique has not been established.
Numerous computational methods have been developed for the prediction of aqueous solubility from a compound's structure.
Numerous computational methods have been developed to solve such problems which are, in general, susceptible to failure under certain conditions due to numerical stiffness.
Numerous computational methods have been developed to determine CRMs.
For example, numerous computational methods have been devised to predict potential protein-protein interactions, but high-throughput experimental methods typically exhibit a high false positive rate, precluding the development of a well-validated dataset.
Inferring a regulatory network from DNA microarray data remains a great challenge despite the fact that numerous computational methods have been published [ 33- 39].
As a result, numerous computational methods for genome annotation have emerged, including machine learning and statistical analysis approaches that practically and efficiently analyze and interpret data.
By uploading analyses generated by the computational methods they develop, bioinformatics developers will potentially reach out to more users unfamiliar with their tools.
These results were corroborated by other computational methods (see the Supporting Information for details).
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