Resolution:
## Figure 3.
The search behavior of the segment modeling algorithm using the whole data set. Pairwise plots showing reduced learning error (2) at each iteration of segment merging
and model recalculation. The columns for the pairwise plots are k-mers; rows are cell
lines. In each plot, the X-axis denotes the number of iterations and the weighted
squared prediction error is denoted on the Y-axis. The HillClimbing search algorithm
effectively reduced the error between prediction and observation. In fitting the whole
data set, as opposed to 10 fold cross validation, the final model predicted methylation
susceptibility in the different cell types.
Yang |