eprintid: 1190
rev_number: 11
eprint_status: archive
userid: 20
dir: disk0/00/00/11/90
datestamp: 2015-06-03 04:38:12
lastmod: 2015-06-03 04:42:41
status_changed: 2015-06-03 04:38:12
type: conference_item
metadata_visibility: show
creators_name: Bui, Ngoc Thang
creators_id: thangbn@vnu.edu.vn
title: A Novel Framework to Improve siRNA Efficacy Prediction
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: 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.
date: 2014
date_type: published
full_text_status: none
pres_type: paper
publication: Computer Science
volume: 8444
pagerange: 400-412
event_title: 2014: The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014)
event_location: Taiwan
event_dates: 13-16 May 2014
event_type: conference
refereed: TRUE
citation:   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.