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We also used the BEB estimation method in model M8 [ 46] to identify sites under possible positive selection.
Indeed, the number of successful estimations by GA in our method was less than that of the standard method in Model 1.
It was found in Supplementary Fig. S1 that genome diversity, characterized by Dev_geneCluster method in Model C, exhibited strong correlation to pan-genome size, and difference in gene cluster number may primarily affect pan-genome size.
Most plant miRNA families have been identified by traditional Sanger sequencing method in model species with known genome sequences (Arabidopsis, rice and poplar) and most miRNAs are conserved across plant families [ 12].
The posterior probability of sites that had undergone positive selection was calculated using the Bayes empirical Bayes (BEB) method in model A. For these last two analyses, there were 9 and 10 amino acid sites in HIF-1αB sequences with a posterior probability greater than 0.5.
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The proposed combination can be used as a low order yet effective method in model-based AVC of arbitrary mechanical/civil structures.
Three numerical examples are presented to show the capability of this method in modelling wave propagation and dynamic fracture problems.
With the development and progress, soft-sensing is becoming a most widely used method in modeling and analyzing for batch processes.
Various examples and discussions are provided to consider the effectiveness of the proposed method in modeling accessibility-enhancement strategies such as congestion mitigation and land use policies.
Comparisons with other numerical methods as well as analytical results emphasize the fidelity of the method in modelling the underlying physical phenomena and growth mechanisms.
The superiority of the Green element method in modeling of two phase water/oil flow is at the core of this paper.
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