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Steeped in graphic specificity, Di Fusco's take-no-prisoners staging portrays the alienation, drug abuse and tenuous grip on sanity that take their toll on young men thrust into harrowing circumstances for which they're tragically unprepared.
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<img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0015079.e006.PNG" class= inline-graphic"/> Specificity is the fraction of total negative examples that are correctly predicted.
Given an observed mean density of <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0008407.e004.PNG" class= inline-graphic"/>, we thus obtain the function: <img src="http://journals.plos.org/plosone/article/asset?id=info:doi/10.1371/journal.pone.0008407.e005.PNG" class="inline-graphic"/> To ensure specificity, we impose a uniqueness cutoff of F≥5.
The choice of proposed cutoff for this analysis was based on maximal sensitivity and specificity using the graphic representation of correct classification probabilities.
Smaller <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0012681.e135.PNG" class= inline-graphic"/> results in little specificity of the k-mers to a region in the genome, and thus reduces the power of the method to discover regional biases.
With this test, the true positive rate (sensitivity) is plotted against the false-positive rate (1 – specificity) to receive a graphic estimate of the test or scoring system performance as the area under the curve (AUC).
Serial reintroduction of five sites failed to reestablish Sic1 binding to Cdc4, a subunit in the ubiquitin ligase <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0014029.e001.PNG" class= inline-graphic"/> that determines the target specificity, or cell viability.
Forest plots of the Sensibility and Specificity were used for the graphic display of the results.
ROC curve is a graphic representation of the relationship between sensitivity and specificity for a diagnostic test.
ROC curve is a graphic arrangement to display the relationship between sensitivity and specificity, and it assists for best model selection by deciding the optimal threshold for the landslide assessment.
The receiver operating characteristic (ROC) curve is a graphic presentation of the relationship between both sensitivity and specificity and becomes the standard analytical tool for evaluating diagnostic tests.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com