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Unfortuantely, however, it was not sure which substitution matrix was optimal.
Figure 3 shows that for the 2135 proteobacteria orthologs the WAG matrix was selected for approximately 46% of the genes, the RtREV matrix was optimal for the second largest proportion (21%), and a large number of other models best described the other 33% of the genes.
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In addition, from the simulation results, the MDC matrix is optimal for a signal that has an extended length.
The separation approach is identical to the proposed one but the panning matrix is optimal.
The approximation to the original matrix is optimal, in the least squares sense, for any number of dimensions one would choose.
We have investigated patterns of amino acid substitution among homologous sequences from the three Domains of life and our results show that no single amino acid matrix is optimal for any of the datasets.
Whether the more comprehensive ESPOIR matrix may be optimal in different populations remains to be demonstrated, as well as the performance of the other matrices in the ESPOIR population (work in progress).
This distortion matrix was shown to be optimal in the sense that it minimizes the averaged Euclidean distance between the distorted and non-distorted data[7].
In contrast, exudate in the chronic wound has higher concentrations of MMPs, proenzymes that tend to degrade the wound matrix that is optimal for wound healing.
A Box-Behnken matrix was used to find optimal conditions for the procedure through a response surface study.
The optimal matrix was obtained at module number of eight for a 20 moduleule due to trade-off relationship between module specifications and effective process driving force in MD.
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