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A Novel Framework to Improve siRNA Efficacy Prediction

Bui, Ngoc Thang (2014) A Novel Framework to Improve siRNA Efficacy Prediction. In: 2014: The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014), 13-16 May 2014, Taiwan.

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Short interfering RNA sequences (siRNAs) can knockdown target genes and thus have an immense impact on biology and pharmacy research. The key question of which siRNAs have high knockdown ability in siRNA research remains challenging as current known results are still far from expectation. This work aims to develop a generic framework to enhance siRNA knockdown efficacy prediction. The key idea is first to enrich siRNA sequences by incorporating them with rules found for designing effective siRNAs and representing them as transformed matrices, then to employ the bilinear tensor regression to do prediction on those matrices. Experiments show that the proposed method achieves results better than existing models in most cases.

Item Type: Conference or Workshop Item (Paper)
Subjects: Information Technology (IT)
Divisions: Faculty of Information Technology (FIT)
Depositing User: Ms. Hong-Nhung Do-Thi
Date Deposited: 03 Jun 2015 04:38
Last Modified: 03 Jun 2015 04:42

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