Individuals are classified to the group with their highest class probability.
Given a field recording, the algorithm generates high-class probability region labels.
At the same time, the high-risk class probability decreased from 24 to 8%%, the moderate-risk class probability decreased from 21to10%0 %, and the equipment-sharing class decreased from 23 to 12%%.
Thus, each segment represented an average class probability for each sample, and we predicted each sample to the class with the highest average probability.
For RMEL1 (Figure 4C) and RMEL3 (Figure 6C), five and three RNA structure predictions with very high probability (RNA-class probability >0.95) were generated, whereas for RMEL2 (Figure 5D) there was only one prediction and with lower probability (RNA-class probability = 0.87), compatible with the prediction that RMEL2 is most likely a protein coding gene.
Diseases that have a higher average disease-class probability are more likely to be similar to the reference disease than diseases with a lower average disease-class probability.
The average class probabilities were high (.84 -.90), which indicated that the participants were properly classified to their latent class.
A strong association was found between empirical assessment of clinical probability and the proportion of confirmed deep vein thrombosis: 2/107 (1.9%), in the low clinical probability class, 7/85 (8.2%) in the intermediate probability class, and 13/18 (72.2%), in the high clinical probability class.
VUS with a probability of increased pathogenicity are assigned a higher class.
Class 3 (high probability of daytime and nighttime heartburn and regurgitation; low probability of non-digestive symptoms) was quite comparable to class 1 with patients with a high probability and severity of typical symptoms, occurring during the day as well as the night.
@ RNAz RNA-class probability.
