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Figure 8(a) compares the actual experimental data with the predicted profiles generated from the identified algorithm, which shows excellent agreement.
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Amongst the truly novel terms, we identified algorithms, methods, brand names and gene names.
The overarching goal was to identify algorithms that can accurately identify the health outcomes for safety surveillance.
The second aim was to identify algorithms with high specificity in order to provide proxies for clinical diagnoses.
In our analysis of the spread or lock-in of the persistent regimes, the idealized case gives us a hint to select the identifying community algorithm.
For the larger communities identified, the algorithm we used identified sub-communities forming a hierarchy of communities (modularity at the lowest level was Q = 0.66 ).
Using natural language analysis, the algorithm identified the topic of people's dreams and split them into nine categories, and then highlighted nineteen emotions surrounding them.
The algorithm identified the route minimizing this cost function.
As stated, many of the knockouts identified by the algorithm presented here have been reported in E. coli.
Also in multiple clusters case, the clusters identified by the algorithm tend to overlap to a great extent.
The patients identified by the algorithm requiring at least two claims from a rheumatologist were slightly younger and had more comorbidities than the patients identified by the other algorithms.
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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