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Annotations provide a way to quantify the confidence (probability) that a revision atom holds.
We also show how to improve the estimates for the required confidence probability by removing some unlikely existing breakpoints.
Samples which did not exceed a classification confidence probability threshold of 0.69 (red-line; empirically derived, Supplementary Fig. 5) were deemed nonclassifiable.
Figure 4i shows the results of the LDA processing of the data from the eGNR-based multielectrode chip with the confidence probability of 0.95 at room temperature and at 100 °C.
(d) Subgroup classification from MS-MIMIC showed total concordance with the reference subgroup (from 450k and GoldenGate DNA methylation arrays and CTNNB1 mutation status) after applying a classification confidence probability threshold (NC –non classifiable).
(f) Subgroup assignment and probability estimates (dot) along with 95% confidence intervals (boxplots) for 120 standard risk HIT-SIOP-PNET4 tumours after applying the confidence probability threshold (red-line).
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Their triumph owed to the use of the same kind of confidence probabilities people have come to expect from weather forecasts—if there's an 80percentt chance of rain, we'll take an umbrella.
The candidates in the list are also ranked by the confidence probabilities.
Confidence probabilities [41] for branches of the NJ tree were assessed using the interior-branch test implemented in MEGA.
Loci that received low confidence probabilities were cloned using the pCR2.1 TOPO TA Cloning Kit (Invitrogen) and sequenced as described above.
Thus, our dynamic programming algorithms can also produce exact solutions to the MEC objective, and just as interestingly, they can produce confidence probabilities associated with the MEC.
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