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Overlapping areas that were significant across all iterations were identified as the performance-related activation and used as ROIs.
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The subsequent iterations (2 4) themes were identified, sorted and further refined with questionnaires.
The extent threshold (k) was obtained via Monte Carlo simulation (3dClustSim, AlphaSim, implemented in AFNI, 10,000 iterations) Brain regions were identified that correlated with neuroticism for abovementioned contrasts.
In the last two tables, variable regions are reported and are grouped by the iteration that they were identified in regardless of whether they passed the Bonferroni correction to permit users to evaluate regions near the cutoff.
Step 6 (E2C) So in this iteration step, three characteristics were identified of these repair processes which will be grouped into one domain of cleaning process to have a first shape of taxonomy.
Within a given set, about 12% of the peptides were common to any two successive iterations; however, only 3 to 6% of the peptides were identified in all three iterations.
Considering only those proteins which co-cluster in >95% of k-means iterations, three "core" protein groups were identified.
A total of 19 new variants were identified following iteration (105 SNVs), a 22% increase over initial mapping (86 SNVs), with frequencies ranging from 0.17% to 40%, illustrating that even Sanger-level SNVs in densely mutated regions can be missed due to inadequate mapping.
All the class labels to learn were identified after 600 iterations for all the selection criteria, except for farthest-first.
No further concerns with the animation were identified in subsequent iterations.
In addition, convergence of the model was obtained after the first 200 iterations and no problems with autocorrelation were identified for the posterior inferences.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com