Sentence examples for diverse algorithms to from inspiring English sources

The existing literature introduces diverse algorithms to detect and restore the impulse noise.

The target genes were validated using ChIPBase and by employing a consensus approach of diverse algorithms to predict miRNA gene targets.

Generally, the genes coding for proteins are identified through diverse algorithms designed to identify a set of transcription factor binding sites and signals in the DNA sequences.

It also demonstrates OpenTox API's ability to provide a unified interface to diverse algorithms and data, and to encourage defining explicit relationships between data and processing routines.

Numerous in silico prediction tools with diverse algorithms were used to characterise the functionally significant nsSNPs in ALK.

Therefore, as we further detail the pathways underlying cell growth and protein production and deploy diverse algorithms for their analysis, opportunities will arise to move beyond simple cell line designs and facilitate cell engineering strategies with complex combinations of genes that together underlie a phenotype of interest.

To evaluate the robustness of the most diverse reference algorithm to the presence of genotyping errors, we introduce genotype error uniformly at random to each of the 50 simulated genotype data sets and generate the most diverse subset based on the modified genotypes.

In order to accurately identify and classify putative Pathogenicity Islands (PAIs) in the corynebacterial genomes, we developed a combined computational approach using several in-house scripts to integrate the prediction of diverse algorithms and databases, namely: Colombo-SIGIHMM [83], Artemis [82], tRNAscan-SE [80]; EMBOSS-geecee [84], ACT: the Artemis Comparison Tool [85], and mVIRdb [86].

The shift identified concerns treating markets as diverse algorithms, and will have profound effects upon the conceptual frames used to address the economy.

During the last decades, diverse algorithms have been proposed for the automatic derivation of structural alerts from categorical toxicity data sets.

Using these theoretically diverse algorithms, we reduce the likelihood of relying on the results of one algorithm that over-learns the data and fails to generalize to a broader population.