Improving model predictions for RNA interference activities that use support vector machine regression by combining and filtering features

@article{Peek2006ImprovingMP,
  title={Improving model predictions for RNA interference activities that use support vector machine regression by combining and filtering features},
  author={Andrew S. Peek},
  journal={BMC Bioinformatics},
  year={2006},
  volume={8},
  pages={182 - 182}
}
RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathways. To dissect the factors that result in effective siRNA sequences a regression kernel Support Vector Machine (SVM) approach was used to quantitatively model RNA interference activities… CONTINUE READING