Sentence examples for multiple algorithms has from inspiring English sources

Collecting predictions and scores from multiple algorithms has many advantages.

Because of the functional importance, multiple algorithms have been available for identifying CGIs in a genome or a sequence.

Multiple algorithms have been devised to process RT-qPCR quantification cycle (Cq).

Until now, methods for differential coexpression analysis of gene expression data have been extensively researched, and multiple algorithms have been developed and tested [ 9– 12].

Multiple algorithms have been developed to exploit SNP data to identify CNVs, including QuantiSNP [ 19], PennCNV [ 20], Birdseye [ 21] and Cokgen [ 22].

However, multiple algorithms have seldom been compared on the same data [ 11- 14], which is problematic because algorithms that work well for one data source may not do as well for another.

The poor overlap between different miRNA target prediction algorithms is well known and the lack of rationale behind filtering of targets by using multiple target prediction algorithms has been demonstrated [25].

Other multiple search algorithms have been proposed [31, 32].

Multiple scheduling algorithms have been proposed to ensure that short interactive jobs, large batch jobs, and guaranteed-capacity production jobs running on these frameworks can deliver results quickly while maintaining a high throughput.

Multiple computational algorithms have been devised to address gaps in metabolic network models in an automated manner [ 26].

Multiple software algorithms have been developed to detect and map modifications from MS and MS/MS data with varying degrees of success.