Sentence examples for interaction can be predicted from inspiring English sources

To compensate for this problem, we estimated the proportion of false-negatives based on the interactions of proteins in two-component signal transducers whose interaction can be predicted by the location of the corresponding genes in the genome.

Although it has been suggested previously that the output of the motor system is, on average, influenced according to the past experience of ongoing sensory events [16], the present results show that this interaction can be predicted by using estimated quantities about uncertainty among events.

In Fig. 2, we analyze the effect of applying these methods over several datasets to see how many real positive interactions can be predicted correctly by the methods as absolute numbers.

The protein-protein interaction represents mutual relationship between the proteins and the mapping of such interactions can be predicted by high-throughput proteomic analysis or links based on protein components between pathways and complexes [10].

The top-ranked interactions can be predicted as direct physical interactions (Fig. 1 d).

For the non-conserved miRNAs only the more extensively paired interactions can be predicted with reasonable confidence.

Given a threshold (T) of at least five pairs of predicted contacts, helix helix interactions can be predicted with an accuracy of 67% and a specificity of 95%.

Due to the nature of proposed genetic approach, some of the RNA-RNA interactions can be predicted more accurate than the other algorithms.

Genetic by environmental interactions can be predicted by genotyping each animal just once instead of obtaining phenotypes for each animal in each environment with traditional evaluation.

The targets of conserved miRNAs can be predicted with very high confidence, whereas in single-genome analysis only the more extensively paired interactions can be predicted with reasonable confidence [ 30].

With the assumption that compounds with similar activity profiles may target similar proteins, new possible drug-protein interactions can be predicted by clustering analysis of compound bioactivity profiles across cell lines.