Sentence examples for prioritization score from inspiring English sources

Our database includes a SNP prioritization score based on the genomic information network (GIN) method introduced by S. Saccone and colleagues [4].

The original GIN method introduced by Saccone and colleagues incorporated LD into the prioritization score through the use of LD proxies.

The GIN method assigns each SNP a numeric prioritization score indicating the biological relevance for addiction: the higher the score, the greater the priority.

Our complete SNP database is available for download from our web site at http://zork.wustl.edu/nida/neurosnp.html, and the top 5,000 SNPs ranked by GIN prioritization score [4] is provided in a spreadsheet as supporting file S2.

Genes with a large number of mouse associations are prioritized more highly, and those with a relatively low number receive little increase in the prioritization score relative to arbitrary genes (see the methods section for details).

Table S1 gives a broader view of how microarray coverage depends on biology, and shows that the Illumina coverage tends to improve with the prioritization score, while the Affymetrix coverage is uniform.

It is also important to note that if the need for limited resources is ongoing for patients previously scored at the lowest or intermediate priority, and who thus did not receive prioritization, scoring can be repeated to 're-prioritize' resources on an ongoing basis.

The database is annotated using numeric prioritization scores indicating the extent of biological relevance.

This database is annotated with numeric prioritization scores [4] indicating the biological relevance of a SNP to addiction.

This combination of biological prioritization scores and LD tagging annotation will enable addiction researchers to supplement commercial SNP microarrays to ensure comprehensive coverage of biologically relevant regions.

And even within a set of biologically relevant genes, using the GIN prioritization scores to further refine interactions tests, such as testing only within the top 100 SNPs ranked by these scores, will further reduce the problem.