Resolution:
## Figure 4.
Effect of the number of k-mers used for three modeling approaches. The performance of three modeling approaches was measured from 10-fold cross-validation.
Each bar is the AUC value of the experiment. X-axis is the number of most significant
variables (p-value in t-test) used in each experiment. Consistently in 4-mer to 6-mer
and regardless of number of patterns, segment modeling outperformed other modeling
approaches. More importantly, from the experiments using variable numbers of k-mers
from 10 to 100, we have shown that the selection of k-mers does not have a big impact
on the model performances and the higher accuracies of the segment modeling approach,
compared to the promoter and site-specific modeling approaches, is likely due to the
effectiveness of the segment model.
Yang |