TY - GEN
T1 - Predicting cis-regulatory modules by method integration
AU - Chang, Darby Tien Hao
AU - Shiu, Guan Yu
AU - Sun, You Jie
PY - 2014
Y1 - 2014
N2 - Various cis-regulatory module (CRM) predictors have been proposed in the last decade. Several well-established CRM predictors adopted different categories of prediction strategies, including window clustering, probabilistic modeling and phylogenetic footprinting. Appropriate integration of them has a potential to achieve high quality CRM prediction. This study analyzed four existing CRM predictors (ClusterBuster, MSCAN, CisModule and MultiModule) to seek a predictor combination that delivers a higher accuracy than individual CRM predictors. 465 CRMs across 140 Drosophila melanogaster genes from the REDfly database were used to evaluate the integrated CRM predictor proposed in this study. The results show that four predictor combinations achieved superior performance than the best individual CRM predictor.
AB - Various cis-regulatory module (CRM) predictors have been proposed in the last decade. Several well-established CRM predictors adopted different categories of prediction strategies, including window clustering, probabilistic modeling and phylogenetic footprinting. Appropriate integration of them has a potential to achieve high quality CRM prediction. This study analyzed four existing CRM predictors (ClusterBuster, MSCAN, CisModule and MultiModule) to seek a predictor combination that delivers a higher accuracy than individual CRM predictors. 465 CRMs across 140 Drosophila melanogaster genes from the REDfly database were used to evaluate the integrated CRM predictor proposed in this study. The results show that four predictor combinations achieved superior performance than the best individual CRM predictor.
UR - http://www.scopus.com/inward/record.url?scp=84906559261&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906559261&partnerID=8YFLogxK
U2 - 10.1109/ICCA.2014.6870968
DO - 10.1109/ICCA.2014.6870968
M3 - Conference contribution
AN - SCOPUS:84906559261
SN - 9781479928378
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 491
EP - 494
BT - 11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
PB - IEEE Computer Society
T2 - 11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
Y2 - 18 June 2014 through 20 June 2014
ER -