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The percentage of correctly predicted cases was evaluated using a cutoff probability ≥ 0.5.
When using a cutoff probability threshold of 0.85, we find for Gaussian noise 72% and for the optimal Student's- t noise 78% of correctly assigned genes.
Further, for cognitive flexibility, using a cutoff probability value of 0.30 to delineate a lower functioning subgroup, 28 of 48 (58.3%±13.9%, 95% CI) of MCI subjects with relative low baseline functioning convert to AD within 24 months.
For perceptual motor speed, using a cutoff probability value of 0.40 to delineate a lower functioning subgroup, and considering subjects with at least one APOE4 allele, 23 of 35 (65.7%±15.7%, 95% CI) of MCI subjects with relatively low functioning convert to AD within 24 months.
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An analysis of the SUMO enriched proteome over the three replicates indicates that in total 1821 unique proteins were identified using a cutoff of 95% probability for identification of peptides.
Using a cutoff value of 50% probability of AIT, the receiver operating curve only has a sensitivity of 66% and 1 − specificity of 37%.
Using a cutoff factor the user can create a 'biological profile' (biological effects predicted with high probability for structures with known activity) that is further used in the workflow.
Using a cutoff of 13.5 ng/mL, MMP7 was highly predictive for advanced disease.
Using a cutoff value of 17 pg/ ml, IL-1β had a sensitivity of 96.2%, a specificity of 43.3%, a negative predictive value (NPV) of 95.5% and a post-test probability of 4.5% (95 CI: 1 to 16%).
For evaluating these metrics, a cutoff probability of 0.5 is used for predicting the outcome.
In the initial assembly, we used a cutoff (the threshold for the probability score that matching bands are a coincidence) of 1 e-35.
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