2008 International Conference on BioMedical Engineering and Informatics Using Random Perturbation Method to Improve Efficacy Prediction of siRNA Sequences May 27-May 30 ISBN: 978-0-7695-3118-2
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.8
Short interfering RNAs (siRNAs) can be used to silence gene expression. The potential application of this research opens the door for the development of the future generations of effective drugs. The question ofhow to design effective siRNAs is still under intense study. Our motivation is to improve the accuracy of the simple linear model. We propose a new random perturbation method that predicts most actives iRNA candidates with high accuracy. The contribution of this paper is two-fold. First, we developed the random perturbation method which improved the prediction of siRNA sequence efficacy. Our method is easy to implement and runs efficiently. Second, we developed a new method; we named it alpha method that can linearly optimize different contributions from different weight sets.
Index Terms:
siRNA, random perturbation, linear model
Citation:
Willard Frutiger, Jeremy Collins, Wei Hu, "Using Random Perturbation Method to Improve Efficacy Prediction of siRNA Sequences," bmei, vol. 1, pp.194-199, 2008 International Conference on BioMedical Engineering and Informatics, 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||