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.
Michael SmithRachel ChanMaaz KhurramPaul M. K. GordonPublished in: PLoS Comput. Biol. (2021)
Keyphrases
- computational efficiency
- computational cost
- learning algorithm
- spectral analysis
- theoretical analysis
- computational complexity
- signal processing
- computational demands
- high accuracy
- benchmark datasets
- computationally efficient
- support vector
- support vector machine
- times faster
- independent component analysis
- significant improvement
- voting scheme
- consensus clustering
- run times
- voting schemes