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Individual post-hoc analysis for each of these markers may identify the most likely multi-locus combination involving those marker.
Subsequently, a balanced classification accuracy is calculated for each multi-locus combination, and the optimal model is selected based on the highest balanced accuracy.
First, HFCC selects a marker variable (either a single-locus marker or a multi-locus combination of markers, depending on the type of analysis).
For each locus or multi-locus combination, attribute construction is performed to make a single variable with two categories: high risk and low-risk.
For each multi-locus combination, the ratio of cases to controls within each contingency table cell is calculated, and then each cell is assigned a status of high-risk or low-risk by comparing this ratio to the ratio of cases: controls in the overall dataset.
However, the influence on disease contributed by multi-locus, combination-specific pairs of allelic variants remains largely unmapped and uncharacterized biologically.
In order to gain more insight into the epidemiology and population structure of M. hyorhinis we genetically characterized 60 isolates by multi locus sequence typing (MLST).
Isolates of S. suis were serotyped and characterized by multi locus sequence typing (MLST) and pulse field gel electrophoresis (PFGE).
All strains have been assigned to multi locus sequence types (STs) according to the scheme described by Wirth et al. [25] using primers previously published [26].
All non-duplicate S. suis serotype 2 strains were characterized by multi locus sequence typing (MLST) and pulse field gel electrophoresis (PFGE) as described previously [2], [12].
A detailed analysis of the ibeA sequences revealed the phylogeny of this gene to be consistent with that obtained by Multi Locus Sequence Typing of the strains.
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