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. 2020 Feb 10;21:138. doi: 10.1186/s12864-020-6555-7

Table 2.

Comparison of misclassified isolates with Random Forest to traditional laboratory testing

Isolate Phenotypea Random Forest (RF)a Votesb Location in SNP tree Serotype Shigella/E. coli (agglutination) Properties against RF classification
IBESS811 E S 0.99

Within

S. sonnei

S. sonnei phase 1/ O-negative Motility
IBESS97 E S 0.80

Within

S. flexneri

S. flexneri, inconclusive/ O135 Inconclusive Shigella serotype
IBESS1163 E S 0.76

Within

S. flexneri

S. flexneri, inconclusive/ O135 Inconclusive Shigella serotype
IBESS911 E S 0.68

Within

S. flexneri

S. flexneri, inconclusive/ O135 Inconclusive Shigella serotype
IBESS996 S E 0.53 Within EIEC / S. flexneri S. flexneri 3a/ O135 None, hybrid isolated
IBESS988 S E 0.56 Within EIEC / S. flexneri S. flexneri 3b/ O135 None, hybrid isolated
IBESS419 S E 0.57

Within

S. flexneri

Provisional/O-negative None, hybrid isolate, provisional Shigellad
IBESS232 S E 0.60

Within

S. flexneri

Provisional/O-negative None, hybrid isolate, provisional Shigellad
IBESS470 S E 0.82 Within EIEC Provisional/O-negative None, hybrid isolate, provisional Shigellad
IBESS810 S E 0.89 Within EIEC Auto agglutinablec None, hybrid isolate, provisional Shigellad

RF Random Forest. aE Escherchia, S Shigella. bfraction of votes for classification in Random Forest. cIn-silico serotype, using E. coli serotypeFinder 2.0 of the Center for Genomic Epidemiology [23]: provisional/O-negative. d Hybrid isolates Isolates that possess characteristics of both Shigella spp. and E. coli.