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On a log-log scale we depict the total number of items and the cumulative time period covered by each data set.
Examples of the variety of web content, gathered from different web sites and used in the context of popularity prediction, are illustrated in Figure 1, together with information about the number of items and the time period covered by each data set.
We computed GFA using all three combinations, and used the factors for common components shared by each data set in the congruence analysis.
In some cases, there will be overlap of the network of interactions that are predicted by each data set, while in others the analysis of the different datasets will provide different and sometimes contradictory networks of interactions.
First, are there frequent conflicts between separate mtDNA and nucDNA trees, and are the conflicting clades strongly supported by each data set?
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Fully partitioned Bayesian analyses were performed by partitioning each data set by gene and, for the protein-coding genes, by codon position.
Statistical significance of QTL for each trait was assessed by permuting each data set 1000 times, with a significance level of 0.05.
The fraction of bound aptamer was calculated as a function of protein concentration and then plotted as shown in Figures 5B and 5C for various aptamer protein pairings; KD values were determined by fitting each data set to the Hill equation.
For all clones, application of a compressive force revealed both liquid and elastic solid behavior by aggregates in each data set.
This was performed by either fitting each data set independently or doing a global fit with a shared [GdnHCl]1/2 value, and then the results were compared with an F test.
We then extended both OE and UC to cover the temporal range 2001 2010 by applying to each data set the ratio of a coincident SeaWiFS&MISR PM2.5 to its decadal mean.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com