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The mappings were evaluated using two comparative metrics coupled with qualitative inspection by an expert physician.
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These genes were evaluated for mis-mappings by examining secondary and alternate alignments of the reads aligning to each candidate as shown in Figure S14.
Hence, among the 6,557 mapping candidates, 3,326 (50.72% of the total candidates) one-to-one mappings were manually evaluated as correct mapping candidates resulting in a precision rate of 96.46% and recall rate of 44.89%.
In a series of experiments, similarity measures were used to predict the mapping, and the performance was evaluated by comparing the predictions with the gold mappings.
Therefore, the vacuum washing method was applied to historical objects and the efficiency was evaluated by μ-XRF mappings.
The first criterion, which can only be evaluated with simulated data, is the combination of the number of confident mappings and the alignment error rate out of the confident mappings.
This argument should be evaluated not by counting similarities, looking to pre-theoretic resemblances between rectangles and boxes, or constructing connectionist representations of the domains and computing a systematicity score for possible mappings.
The 100 most frequent unmapped conditions, procedures and observations were also evaluated to determine if mappings were in fact feasible for these high-frequency codes.
Mappings were visualized with IGV version 2.3.68.
The mappings were designed to make the Palestinians feel that we are there all the time.
Spurious mappings were manually resolved.
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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