Table 4.
ScreenClust HRM analysis cluster, typicality, and probability results
| ID | Isolate | Clustera | Typicalityb | Posterior probabilityc |
||
|---|---|---|---|---|---|---|
| KPC-2-like | KPC-3-like | KPC negative | ||||
| 15 | Entb247 | KPC negative | 0.40697278 | 0.0000 | 0.0000 | 1.0000 |
| 16 | Kleb225 | KPC negative | 0.58822841 | 0.0000 | 0.0000 | 1.0000 |
| 17 | UMM3 | KPC-2-like | 0.62458202 | 1.0000 | 0.0000 | 0.0000 |
| 18 | 233 | KPC-3-like | 0.64076957 | 0.0000 | 1.0000 | 0.0000 |
| 19 | Kleb352 | KPC-2-like | 0.41996172 | 1.0000 | 0.0000 | 0.0000 |
| 20 | Ec351 | KPC-2-like | 0.91755836 | 1.0000 | 0.0000 | 0.0000 |
| 21 | 236 | KPC-3-like | 0.29703921 | 0.0000 | 1.0000 | 0.0000 |
a
The genotype result for a sample.
b
The typicality measures how well a sample falls within the cluster for which it has been classified.
c
The probability of each sample fitting into a particular cluster is given as a value from 0 to 1. The sum of all probability values for a single sample is 1. Each sample is called into the cluster with the highest probability. Samples with a probability of less than 0.7 of belonging to a particular cluster should be treated with caution.