Your English writing platform
Free sign upSuggestions(2)
Similar(60)
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.
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.
In practical applications, the iterative information exchange-based method is expected to be useful in the scheduling phase, while the one-time information exchange-based method is more suitable of the real-time control phase.
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.
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.
Some simple methods are expected to help the selection.
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.
Especially, during health diagnosis modeling of engineering systems, based on data-driven method, acquired data is expected to contain clusters that can be used to differentiate multiple system health conditions.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com