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Overlapping regions of interest (ROIs) of positive classifications are merged and returned as detected windows.
With this, future development of the serum test will focus on biomarkers not directly related to inflammation in order to improve specificity of this test and the rate of positive classifications, such as circulating tumour-specific autoantibodies.
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Sensitivity is defined as the fraction of patients who did not survive six months and are correctly classified by the model, or the fraction of true positive classifications of all test patients who did not survive six months.
First, the protein sequences are classified whether to be a small GTPase, and in the case of a positive classification, they are subsequently classified by the family RFs.
In a high prevalence population, the health care system would prefer a test with high specificity and high predictive value of a positive classification, since a positive outcome would lead to clinical action such as invasive procedures.
To minimize the risk of false positive classification when identifying translationally optimized genes, we selected those 388 genomes showing a marked CUB (see Additional file 1, Table S1 for a listing and Methods for the selection procedure).
They show the rate of true positive and false positive classifications.
The most common cause of false-positive classifications is the presence of coronary artery wall calcifications.
This threshold implies a confidence interval of slightly better than 99%, or equivalently, the chance of committing a false positive classification error of α < 1%.
Even in this case the combination of positive N classification and up-regulation of SDC1 mRNA expression significantly increased the probability of the patients to incur into a dismal disease course (p < 0.001 Table 3; Figure 4).
A prevalence effect exists when the proportion of agreements on the positive classification differs from that of the negative classification [ 19].
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