Sentence examples for based on gene interaction from inspiring English sources

A Systems Biology approach based on gene interaction patterns can compensate adequately for the lack of species-specific genomics information.

Many researchers have proposed disease gene prediction methods based on gene interaction and disease phenotype similarity [ 7, 25– 29].

Since network analysis has been shown to be a powerful tool to understand biological responses by providing a global view of gene products and their relationships [ 13], we also conducted a pathway analysis based on gene interaction information retrieved from literatures.

In line with this, we found that functional genes on the neo-Y chromosome of D. miranda have, on average, a higher number of interaction partners compared with genes that have lost their function (mean of 32 vs. 26 partners, based on gene interactions measured in D. melanogaster; Yu et al. 2008) (Wilcoxon test, W = 2,144,931, P value < 2.2 × 10−).

While Soh et al.[ 3] showed that pathway merging via string name matching (LCS) is a more robust approach than based on gene and gene interaction overlaps, the effect of this merging method is not known in any sort of functional analysis.

Epistasis networks and methods with connections based on gene × gene interactions can also be integrated for GS using statistical genetic models that consider these network complexities.

The most connected nodes are 'Microarray' (denoting an interaction based on gene expression) and 'Reconstituted Complex' (implying an interaction is detected between purified proteins in vitro) with 19 edges, i.e. full connectivity.

The evaluation experiment is based on gene network containing 34,364 interactions between 8919 genes, the phenotypic similarity matrix between 5080 phenotype entities calculated by using MimMiner, and 1428 gene-phenotype links between 937 genes and 1216 phenotype entities.

The method combines microarray gene expression data with cancer prognostic information to identify synergistic gene-gene interactions that are then used to construct interaction networks based on gene modules (a group of genes which share similar function).

This indicates that detection of protein interactions based on gene fusion will continue to be a powerful tool for genome analysis.

For the construction of microRNA interaction networks based on gene signalling pathways, we have refrained from using only targets from in vitro or in vivo experiments due to the obvious bias present in such data.