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Most datasets fit well, but some near-field horizontal waveform fittings suggest that we need to improve the assumed velocity structure model.
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Representative data curves taken from a global analysis of multiple datasets fitted to a monomer-pentamer assembly model showed the differences in assembly clearly (Figure 5).
Globally, LEID-NL was ranked first for both simulated datasets, fitting with the idea that the model behind this method highly conforms to computer-simulated nuclei of controlled cell motility.
For a given dataset, fit a reduced Cox model with no SNPs effect, adjusting for covariates.
Likelihood ratio tests revealed that the dataset fit the positive selection models significantly better than the null models (p < 0.05, Table 1).
However, sometimes not all the samples included in a dataset fit well on a linear regression with respect to the majority of the samples.
More than 800,000 objects currently present in IPKB ontology were used to define algorithmically whether the tested dataset fit into the existing canonical pathways.
When normalised by copy number, it is clear that the combined dataset fit the Gaussian distribution well, although a number of outliers are seen (Additional file 5: Figure S3a).
As shown in Figure 1B, our simian primate dataset fit the two-ratio model significantly better than the one-ratio model, with the human, chimpanzee, and bonobo clade exhibiting a dN/dS of 1.78, while all other branches had a dN/dS of 0.59.
Vice versa, the model prediction of root reinforcement based on the G dataset fits the data better (Fig. 5).
The contents of the ASDI dataset fitted existing needs closely.
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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