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The comparison between MIL3D and SIL3D will show the benefit of using MIL, while the comparison between MIL3D and the k-mer based methods is expected to show the benefit from using the structural features and MIL.
As their throughputs and protocols are being improved constantly, sequencing-based methods are expected to gain a great momentum in the years to come [20].
This phylogeny-based method is expected to complement our approaches based on sequence alignments and structural analysis.
Based on our sequence variability results, especially with regard to RNA modifications, the accuracy of the sequence-based method is expected to be superior to that of the hybridization-based method.
Some simple methods are expected to help the selection.
Although milk flow is a fairly novel trait and the measurements used in this study were obtained on a relatively small population compared to other dairy breeds, selection based on single-step methods is expected to provide the best response with the greatest flexibility.
The proposed method is expected to be useful for predicting potential side effects of new drug candidate compounds based on their protein-binding profiles.
The method is expected to be more consistent as it predetermines the areas of the reservoir with homogeneous permeability distribution based on sensitivity analysis.
The method is expected to produce precise three-dimensional maps of Earth's peaks and valleys.
Likelihood based methods (like MLNE) are expected to be computationally intensive making comprehensive studies difficult as the computational cost to conduct a large number of simulations and posterior evaluation could be prohibitive.
While the applications are focused on the particular models described in Section 2.2, it is important to note that new applications are expected, especially from methods based on multidimensional energy operators and methods based on the monogenic signal.
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