Sentence examples for subset of associations from inspiring English sources

By selecting a subset of associations that had sufficient annotations in the literature we able to focus on those associations more likely to be valid.

In this work, we propose a proof-of concept method to further prioritize these associations by filtering out known associations and aggregating evidence from complementary sources of evidence in order to identify a subset of associations as candidates for further investigation.

At stage 2 (k = 1 + 1), the Rank-Sort-MDP(_{mathrm {REF}}) algorithm call for MDP(_{mathrm {REF}}) algorithm to select the second subset of association rules (E(_{2}) = {AR(_{02}), AR(_{08})}) the E(_{2}) succeeds the E(_{1}), it is less good according to their members and ranked after the E(_{1}).

We validated our method on a subset of association rules (one medication implies one disease code).

Finally, on the subset of association rules used for the validation of the method, we retrieved 53 rules describing clinical relationship between medications and their indications.

Nica et al. (2010) recently proposed a novel method for the prioritization of causal SNPs that employs an empirical methodology that accounts for local LD structure and integrates expression quantitative trait loci (eQTLs) and GWAS results in order to reveal the subset of association signals that are due to cis eQTLs.

A subset of true associations would be weakly associated with outcome in any given GWAS; therefore, large-scale replication is necessary to confirm our results.

We utilised the one-sided Fisher's exact test to calculate the Bonferroni-corrected p-value for enrichment of each TF in the subset of 498 associations, in contrast to the remaining set of 1,491 associations.

A major subset of such associations, e.g., those of mammals, comprises the horizontally transmitted partnerships, i.e., associations in which the host and symbiont population or community re-establishes the relationship with each new host generation [ 1].

However, only a subset of the associations (not all the permutations of the propagation paths) is used in the MD-JPDA filter, this is the reason degrades the performance of MD-JPDA filter.

In this paper we introduce a computational framework for identifying a subset of these associations based on the assumption that drugs capable of modulating the same pathway may induce similar ADRs.