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Next, we applied hierarchical clustering globally to the Pilot dataset, grouping clusters of similar binding sites regardless of their parent protein target.
By computing stiffness and loss tangents for all cell tracks in our dataset, grouping the data in 100-s intervals and averaging over time, we obtained the evolution of the amnioserosa emergent material parameters across dorsal closure.
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Every touch was successfully recognized by DNN since 360 training dataset groups indicate 360 touches.
A full measure (100%) of accuracy was obtained by a complete match between the most frequent label and the actual label, which showed that the DNN model hit the label of 360 training dataset groups without a single failure.
Therefore, in this dataset groups can be considered as known communities.
The second dataset group is represented by 202 projects (≥2005, Ratings A or B).
The first dataset group is represented by 72 projects (≥2008, Rating A).
In the early years of our dataset, group kidnappings had been the most popular method as military and law enforcement presence was absent in the majority of rural areas of Colombia.
From the HapMap dataset (group [H-Ch]), PANTHER and SIFT predicted that 72.2% and 69.8% of the tested nsSNPs, respectively, would be tolerated, and PolyPhen predicted 66.3% of the tested nsSNPs to be benign (Table 4).
The first sheet shows the complete original dataset grouped in the different interactions.
This dataset groups census areas into four categories (urban, town and fringe, village and dispersed settlements) based upon housing densities.
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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