Suggestions(2)
Exact(4)
However, as the number of true non-matches are often very large, specificity and NPV are not very informative [ 34].
In general, a good cutpoint is one which produces both a large sensitivity and a large specificity.
We do not notice these types of large specificity changes arising from small sequence differences in natural PDZ domains, possibly because they disrupt normal PDZ function.
Furthermore, since the PPV depends on the prevalences, algorithms must be trained to optimize sensitivity/specificity, with emphasis on a large specificity (a specificity of 100% would result in a PPV of 100% regardless of the prevalences).
Similar(55)
In defining the levels of consistency, we used the GO term specificity (P) metric computed based on a term's hierarchical level: (1) P = 1 − Number of Offspring Number of Offspring + Number of Ancestors (Louie et al., 2010) where a GO term is more specific (has a larger specificity metric) if the number of ancestors is greater than the number of descendants.
This result suggests that a sub-optimal design of a qPCR validation study can provide a false positive increment in the estimation of the number of q-PCR-confirmed specific ChIP-seq loci and thus it can erroneously predict a larger specificity value than it can be deduced from the whole ChIP-seq dataset.
These datasets represent one of the largest specificity profiling efforts with subsequent structural follow up for any protease family and put the spotlight on the specificity similarities and differences of the MMP family.
Then, for every interface predictor, a threshold increment of one was tried; then, out of the six resulting threshold sets, the set was chosen that resulted in the largest specificity.
GGI was the best method in two validation sets, yielding larger specificity values than the simplest model AURKA.
The diagnostic sensitivity of AFP is estimated at only 25% in those with tumor size of 3 cm or smaller, the resectable size, and nearly 50% in those with 3 cm or larger and specificity range from 76%to96%6% [ 29, 30].
Our approach (described below) explores the possibility that within a large ensemble of specificity masks, certain masks can discriminate between kinases with dissimilar substrate specificities better than others.
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