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Identify anomalies in the data that might be actionable and proactively alert a business person that action may need to be taken even if they've never asked a question about that dataset in the past.
Within each group of non-independent source trees, if multiple trees from the same reference and representing the exact same data set were present (e.g. multiple most parsimonious cladograms), these were combined into a mini-supertree, which could then be used to represent that dataset in the final supertree analysis.
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When I propose to a research council or similar body that I will investigate a set of research questions in relation to a particular set of data, the research council decides whether those are good questions to apply to that dataset, and in the period during which I am funded by that research council, I investigate those questions, so that at the end of the research I can produce my answers.
and the newest one in that dataset.
The weight assigned to each dataset linearly depends on the number of distorted images contained in that dataset.
Recall that dataset no. 4 has a longer range than the other datasets; appropriately, the smearing is most notable in that dataset.
This leads to the many mispredicted junctions in that dataset.
This is in accordance with the results for the ancestral repeats dataset, although in that dataset a second-order Markov chain was used.
In that dataset, we cataloged 377 GxEs containing common phenotypes and common environmental factors.
We found 30 CNVRs that overlapped with CNVRs in that dataset, accounting for 61.22% of their CNV calls.
Our search revealed that datasets in the MENA region generally do not exist in an open-access format.
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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