tarSVM: Improving the accuracy of variant calls derived from microfluidic PCR-based targeted next generation sequencing using a support vector machine.
Christopher E. GilliesEdgar A. OttoVirginia Vega-WarnerCatherine C. RobertsonSimone Sanna-CherchiAli GharaviBrendan CrawfordRajendra BhimmaCheryl A. WinklerHyun Min KangMatthew G. SampsonPublished in: BMC Bioinform. (2016)
Keyphrases
- support vector machine
- high accuracy
- multi class
- prediction accuracy
- machine learning
- sequence data
- generalization ability
- computational cost
- data sets
- classification algorithm
- highly accurate
- k nearest neighbor
- support vector machine classifier
- fold cross validation
- precision and recall
- error rate
- classification accuracy
- support vector
- neural network