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To determine the optimum level of selected variables for maximum tannase production, 3D graphs were generated to understand the effect of different factors individually and in combination with each other.
Graphs were generated to highlight the roles played by various factors and to emphasize the roles played by physical constraints and biochemical aspects in the final sugar yield released from inulin hydrolysis.
were calculated and bar graphs were generated to summarize data across different cell culture experimental conditions.
Line graphs were generated to present the response rates over time with each survey mailing.
The graphs were generated to have vertices equal to a power of two, with an average vertex degree of 14 (| E(G)| = 7| V (G |).
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While network graphs are generated to which graph theoretical approaches can be, and have been, applied, there is no direct physical interpretation of an edge in the graph in terms of a molecular interaction.
A real-time graph is generated to show the how these values change over time (see screenshot above), and the current values are printed to the display as well.
A pie chart and plot graph are generated to illustrate the obtained results.
Finally, model graphs of each response were generated to interpret and evaluate the model equations used.
In total, 10,000 selected gene sets, having the same size and node degree distribution as the extended CACN-1 graph (containing 27 genes), were generated to obtain a frequency distribution of number of edges observed in random networks.
Kaplan Meier graphs were generated for categorical variables to reveal violations of the Cox model's assumption of proportionality.
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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