PMC:1687185 / 40491-41304 JSONTXT

Annnotations TAB JSON ListView MergeView

With a few modifications, more experiments were conducted using the Random Projection method. The Random Projection method will eliminate non-promising regions in the search space and gives a number of promising sets of initial patterns. EM refinement is applied to only the promising initial patterns. Due to the robustness of the results, the Exit-point method is employed only on the top five local optima. The Exit-point method is again repeated on the top scoring first tier solutions to arrive at the second tier solutions. Fig. 6 shows the average alignment scores of the best random projection alignments and their corresponding improvements in tier-1 and tier-2 are reported. In general, the improvement in the first tier solutions are more significant than the improvements in the second tier solutions.