Sentence examples for multiple functional associations from inspiring English sources

An advantage of the methodology presented here is that ExomeWalker quickly shows whether there are candidate genes with both predicted pathogenic variants and multiple functional associations with other genes in the same disease-gene family.

Importantly, it will show all first- and second-degree interactions with the seed genes, allowing users to quickly eyeball candidate lists to determine if there are genes with multiple functional associations with the seed genes that would reward closer inspection.

Motivation: Many algorithms that integrate multiple functional association networks for predicting gene function construct a composite network as a weighted sum of the individual networks and then use the composite network to predict gene function.

Following the framework of Mostafavi et al. (2008), our approach for predicting gene function from multiple networks consists of two steps: (i) it constructs a composite network from multiple functional association networks and (ii) it predicts gene function from a single composite network.

An important step in predicting gene function is the construction of a composite network from multiple functional association networks.

The approaches closest to those presented in this article are methods for integrating multiple functional association networks into one composite network with the goal of predicting gene function from the composite network.

High throughput techniques produce multiple functional association networks.

Results: Here, we address this problem by proposing a novel approach to combining multiple functional association networks.

This preponderance of functional associations between multiple RNases might be indicative of a strategy of multiple cuts (as observed in the case of RloC) employed by prokaryotes to circumvent phage RNA ligase-dependent repair systems that can easily restore RNAs with single endonucleolytic breaks [ 51].

The prediction mostly relies on the STRING database [ 27] that assigns functional associations between proteins by multiple criteria, such as physical interaction, expression pattern and genomic context.

These independent associations could indicate either multiple functional polymorphisms, or a complex pattern of medium-range LD reflecting differing patterns of recombination in ancestral populations carrying the risk variant, or both.