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In contrast, unknown or hidden interactions not involved in the prior knowledge may be difficult to identify from this information.
We therefore propose that future studies of candidate LOAD genes apply tests for epistasis with other candidate genes in order to identify otherwise hidden interactions that could contribute greater risk than any gene individually.
Here, we discuss how computational machine learning approaches can utilize hidden interactions among panels of the genetic and other risk factors, predictive of the individual disease risk by means of implementing genetic feature selection procedures and network-guided predictive models.
The fluctuations of a stock index depend on its own dynamics, as well as the hidden interactions with other indices.
In synthetic biology, where circuits utilising multiple new genes may be introduced into microbes, such hidden interactions can have serious consequences, since resource competition can introduce coupling which in turn causes circuit performance degradation or even failure.
Our results underscore the importance of plasmid copy number and potential impact of "hidden interactions" on the behavior of engineered gene circuits - a major challenge for standardizing biological parts.
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There are reports which eloquently explain how the complexity of the software needed to govern these systems can easily develop hidden complex interactions which create instability within the behaviour of the system [56].
Similarly, there is a manual filter, where specific words of phrases can be hidden from interactions.
An algorithm has been developed to identify hidden drug drug interactions (DDIs) in adverse event reports (Tatonetti et al., 2012), and the same authors detected DDIs between paroxetine and pravastatin which increases blood glucose levels (Tatonetti et al., 2011).
Here, an intrinsically disordered p27 binds to the binary cyclin A Cdk2 complex in a stepwise manner, first by interacting with a groove of the cyclin A and then via binding to the hydrophobic interaction sites Cdk2 had originally hidden from interaction.
It is often not easy to detect epistatic quantitative trait loci (QTL) due to complicated population structure requirements for detecting epistatic effects in linkage analysis studies and due to main effects often being hidden by interaction effects.
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