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FN False negatives, disease-associated mutations predicted as neutral.
The remaining X chromosome variants are predicted as neutral.
SNAP scores range from -100 (strongly predicted as neutral) to 100 (strongly predicted to change function); the distance from the binary decision boundary (0) measures the reliability of the effect.
SNAP scores differ from −100 (strongly predicted as neutral) to 100 (strongly predicted to alter function); the distance is directly related to the binary determination boundary (0), which measures the reliability of the impact.
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I predicted as much.
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In sustained cross-validation, SNAP correctly identified ∼80% of the non-neutral substitutions at 77% accuracy (often referred to as specificity, i.e. correct non-neutral predictions/all predicted as non-neutral) at its default threshold.
In analogy, TN (true negatives) describes correctly predicted neutral pairs (no change) and FN (false negatives) are structure-changing pairs incorrectly predicted as being neutral.
If the impact score is less than 50, it was predicted as DR-neutral.
Several mutations in CG31220 (Additional File 1 Table S4), a serine-type peptidase, are predicted as non-neutral by SNAP.
In a benchmark study, SNAP outperformed most similar methods [ 6]. 23 out of the 107 nsSNPs, located on 18 genes, are predicted as non-neutral with an accuracy of higher than 58% (SNAP reliability index 0), (Additional File 1 Table S4).
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