In such cases, all three methods provide sufficiently close estimates at the sectoral level as well.
This suggested that our method provides a sufficiently reliable estimate of OR gene repertoire sizes in species for which full genomic sequences are not yet available.
Simulations demonstrate that the proposed method can provide sufficiently high classification rate in comparison with other fuzzy classification models.
In contrast, the simulations indicate that the proposed method can provide sufficiently unbiased treatment estimates, and associated confidence intervals with good coverage, over a wide range of scenarios, when the true sensitivity parameters and are known.
The MoF method goes one step further and, in additional to the volumes, keeps track of the cell-wise material centroids; this approach provides sufficiently more information for the interface reconstruction algorithm.
Such targeted methods can provide sufficiently accurate data to limit the potential for false positive or negative results as a result of differential bias.
For biologists interested in assessing how signal propagates through a network under specific conditions, the first class of methods does not provide sufficiently detailed results and the second class requires models which may not be easily and accurately constructed.
Until now, the detection, characterization, and quantification of ENPs, especially in different matrices, are still challenging tasks and the analytical methods required to provide sufficiently reliable data are most often laborious, expensive, and/or demand specialized and trained operators.
Coupling of these two methods provides reliable, sufficiently correct and adequate results of the proposed model compared to experimental measurements.
It features two important functions: (i) combination of several effective plant miRNA target prediction methods provides a sufficiently large MTI candidate set, and (ii) different filters allow for an efficient selection of potential targets.
