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The recall proportion or fraction of true SNPs called correctly (1 - false-negative rate) thus favored the Novoalign criteria (123/137 = 0.91) over the simple filter (106/137 = 0.77).
We computed the trends of the precision (proportion of predicted orthologs that are true orthologs) and the recall (proportion of true orthologs that are correctly predicted) as a function of the true proportion of non-1-to-1 orthology relations, which increases as the gene duplication rate increases.
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Results show that MAXCOM can recall higher proportion of complexes at top one against large randomly constructed negative controls.
The recall is the proportion of correct prediction of positive CEMs.
end{aligned} (1)However, the recall computes the proportion of all significant queries incorporated in the top results: begin{aligned} {text {Recall}} =frac{{text {Card}} RT)}{ {text {Card}}(RsT)}.
Recall is the proportion of benchmark PPIs that are in the testing dataset.
On the other hand, recall is the proportion of relevant objects that are retrieved.
We define the recall as the proportion of positively called disease genes among all disease genes.
Recall is the proportion of all true matches that have been correctly linked.
Sensitivity (Sn), also called recall, measures the proportion of sequences of the target family correctly matched by the motif.
Recall is the proportion of PHI identified by the software (true positives) out of all instances of PHI in the text (true positives plus false negatives).
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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