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The minimum support parameter of FTM was set to 0.9 for all data sets.
minsup gives the minimum support parameter used in the FTM calculations and fp_length the length of the resulting fingerprint.
The minimum support parameter (minsup) for the FTM software was chosen in such a way for each data set that it resulted in approximately the same number of substructural features as the fingerprint of approach A did (57 features).
We used the default parameters of the inner algorithms to configure each predictive model whilst for the DTM, due to the small number of subjects in the training set; we adjusted the minimum support parameter value equal to five.
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This computationally lightweight step can be quickly repeated with other values for the majority and minimum support parameters, if required.
The trade-off is a likely increase in false positives, but the minimum support parameters can be used to keep this under control.
We modified the minimum read support parameter from 50 reads to 10 to increase sensitivity.
The results of the BLASTN search were analyzed and visualized using MEGAN v3.7.4 [25] with the following parameters: minimum support, 5; minimum score, 35.0.
Besides the input dataset, Teiresias algorithm accepts as input three parameters: minimum support, L and W, where L defines the minimum number of concrete symbols that a word of length W must contain.
The obtained DNA sequence reads were investigated by using a MEGABLAST search (20 ) with an e 5 e-value cutoff against the nonredundant nt database nt, followed by taxonomic classification using MEGAN version 3.9.0 (21 ) with the following parameters: minimum support 1; minimum score 35.0.
In most cases, feature selection among the combination of OE and FI-based methods yields better performance and using less features compared to OE. Minimum support threshold is also an important parameter for FI-based methods, changing it can lead to increased performance.
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