Evaluating the effectiveness of ensemble voting in improving the accuracy of consensus signals produced by various DTWA algorithms from step-current signals generated during nanopore sequencing
Fig 12
A) A comparison of the DTWDISTANCE between the gold standard and consensus for a single 128 squiggle grouping from the Enolase (black), Sequin R1-71-1 (red) and Sequin R2-55-3 (green) studies using the DBA, solid line, SSG, dashed line, and MM DTWA algorithms. All Sequin DTWDISTANCE minima occur in the 23% - 30% voting agreement range, lower than for the control Enolase study. B) Again, plots of the mean normalized DTWDISTANCE between the voted-on consensus and its ensemble as whole all show a minimum close to their respective, and different, gold standard length despite using a DTWA consensus generated from fewer, and for the Sequin studies, noisy squiggles.