Sentence examples for approach for prioritization from inspiring English sources

This paper proposes a more general RPN methodology, which combines the ordered weighted geometric averaging (OWGA) operator and the decision-making trial and evaluation laboratory (DEMATEL) approach for prioritization of failures in a product FMEA.

Evaluation of species and environmental libraries of whole plants has demonstrated the value of this approach for rapid prioritization of plants for investigation.

In silico prediction tools for Ames mutagenicity (Salmonella typhimurium reverse mutation assay) represent a cost-effective high throughput approach for the prioritization of compounds before submission to experimental testing.

NORMAN fosters an integrative approach for the prioritization of CECs [23], which relies on three pillars: the first is EMPODAT [24], a powerful database system which has been developed to store the monitoring data collected by NORMAN members and as a tool for use by regulators and scientists alike for the prioritization of CECs.

One practical approach for this prioritization is through risk assessment, which includes the assessment of these dams periodically for the level of risk of failure and the magnitude of economic and life causalities associated with such a failure, and act accordingly.

In this work, we have developed a network-based approach for gene prioritization.

By restricting the analysis to SNP pairs in genes only, the ToppGene systems approach for gene prioritization was appropriate, as used by others for GWAS data [ 37- 39].

In differential gene expression studies, the most common approach for gene prioritization is to utilize statistical methods for case-control microarray data which include t-test and significance analysis of microarrays (SAM) [ 1].

Although the search for drug targets among essential genes is a useful approach for the prioritization of targets, the inability of this methodology to predict some of the successful anti-parasitic drug targets is a limitation of this practice.

Other unweighted approaches for gene prioritization average the scaled Gram matrices obtained from different sources of functional information using suitable kernels [46].

A researcher employed the ensemble boosting learning technique to combine variant computational approaches for gene prioritization to improve overall performance [ 40].