Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10356094 | Journal of Biomedical Informatics | 2012 | 7 Pages |
Abstract
⺠We study state of the art tools for siRNA functionality/efficacy prediction. ⺠We aim to finding globalized algorithm with enhanced prediction accuracy. ⺠We design a multi-layer artificial neural network model, combining two algorithms. ⺠Inclusion of whole stacking energy enhances the prediction accuracy. ⺠Comparative analysis involving 11 other tools shows MysiRNA higher efficiency.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Mohamed Mysara, Mahmoud Elhefnawi, Jonathan M. Garibaldi,