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 11
A) The change in the normalized DTWDISTANCE between the gold standard and consensus as a function of consensus length is shown for 20 Enolase groupings of 512 squiggles as voting level changes from 100% to 10% agreement between noisy squiggles that an insertion occurred. The magenta squares show that initial consensus length, change by 60% during the time taken to perform the experimental study. The SSG, MM and DBA consensuses, green, red and black lines respectively, show similar behaviour after 53% voting agreement, green triangle, reaching a common minimum around 30% agreement. B) In contrast, a 41% voting agreement generates a minimum, normalized, mean DTWDISTANCE between the consensuses and the original, noisy, ensemble squiggles when the consensus length approaches that of the known gold standard length. This match occurs without the consensus generation and voting process having any prior knowledge of the gold standard characteristics.