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Single-family and joint-family analyses had distinct optimum thresholds for selecting markers in prediction models.
These data suggest the robustness of such pathways to the differences of the thresholds for selecting feature genes.
An ordered plot of the coefficients for the first and second components was used to determine thresholds for selecting a probe set as relevant or not.
Thresholds for selecting significant genes were set at a relative difference > = 1.5-fold (or/and 2-fold), absolute signal difference > = 50, and p < 0.05.
We further controlled the thresholds for selecting GO terms such that our two models achieved at least the same precision as the FS model.
Data analysis was performed using the dChip program [ 21] and the thresholds for selecting significant genes were set at a relative difference > = 1.5-fold (or/and 2-fold), absolute signal difference > = 50, and p < 0.05.
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One-way sensitivity analyses were used to identify thresholds for selected independent variables where MoM HRA would be cost-saving compared to THA and thresholds where MoM HRA would be considered cost-effective based on an ICER of $50,000 per QALY.
Such experimental studies could assist in confirming, lowering, or increasing our model's threshold for selecting the predicted-to-be-active molecules.
To meet the communication reliability requirement, the algorithm calculates the BER from S to D firstly, then, sets it as the threshold for selecting the candidate relay nodes.
The value of R which is higher than 0.1 is set as the threshold for selecting input parameters in the models (Chen and Liu 2014).
That is to say, the BER of the data transmission from S to D is calculated firstly, and set it as the threshold for selecting candidate relay nodes.
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