PMC:1687185 / 40491-41304 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/1687185","sourcedb":"PMC","sourceid":"1687185","source_url":"https://www.ncbi.nlm.nih.gov/pmc/1687185","text":"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.","tracks":[]}