Figure 3.

Parameter optimization for the threshold-based method. Small datasets are generated by sampling randomly from real RNA methylation dataset, to which clustering analysis used the threshold-based weighting strategy with different parameters and the clustering performance was evaluated by comparing to true sample labels. Better clustering performance was achieved when setting a relative small value for weight parameter β and a medium value for threshold parameter α.