As expected the performance of the method increases when more data is used for training.
This study revealed that the relative superiority of the RF method increases as more interacting SNPs are added to the model.
This stacking method increased sensitivity more than 200-fold and can be applied for detection of the presence of methamphetamine in an abuser's urine (3600 ng/mL), which was confirmed by GC MS.
The combined method increased slightly more rapidly than did the two methods independently.
Furthermore, we observed that the quality of the predictions improves as the number of genomes used for training the method increases, promising enhanced performance as more complete genome sequences become available.
However, as the center-span length increases, more effective methods should be considered.
As expected, power of all methods increased when more expression probes were associated with the phenotype (Figure 2C) and as R2 increased (Figure 2D).
As computational power increases, more efficient and accurate methods will be developed.
Under this method, fluorescence was increased more than 30x over control allowing for enhanced screening.
