Sentence examples for more interacting genes from inspiring English sources

The most obvious difference in the function distribution is that substantially more interacting genes had almost identical function (i.e. similarity bin 10 in the figure) than the non-interacting genes, while fewer interacting gene pairs fell into other function similarity bins than non-interacting gene pairs.

When comparing the total number of genetic interactions, we found that RTT107 had many more positively interacting genes than either SLX4 or HRQ1.

Furthermore, we show that many more CDC2 interacting genes have concordant expression profiles in HCC.

Following functional abstractions of the further GO categories (Table  3) the GO category "cellular component" indicated 2.5 times more miRNA-interacting genes annotated to the nucleus (n = 688 genes) than to the cytoplasm (n = 274).

It assumes that a knockout affects directly interacting genes more strongly than others.

When candidate genes have more interacting partners in a network and are closer to other known disease genes, RW may perform better than the other methods.

As Jaeggi and others see it, the genetic component of intelligence is undeniable, but it functions less like the genes that control for eye color and more like the complex of interacting genes that affect weight and height (both of which have also been rising, on average, for decades).

But they could also transplant groups of interacting genes, creating more humanlike yeast that would be useful for studying new drugs or molecular circuits that go awry in diseases. .

Applying sequence identity or genomic distance to interacting genes can identify more gene pairs with high function similarity than using interaction number, suggesting combining sequence identity or genomic distance with gene spatial interaction information could be more sensitive in identifying genes with high function similarity than using interaction information alone.

Such sets of interacting genes are considered more likely candidates for causing the disease at the different loci.

This is the framework required to move from anecdotal reports of nucleotide variation among interacting genes to a more predictive network-centered view of natural selection (Wilkins 2007).