Article
A hybrid framework for genome wide epistasis discovery.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference - 1 Jan 2011
Tan Zehao, Zhang Zhuo, Liu Jiang, Kwoh Chee Keong, Ong Sim Heng, Teo Yik Ying, Khor Chiea Chuen, Tai E Shyong, Aung Tin, Vithana Eranga, Wong Tien Yin
Abstract excerpt
A hybrid framework integrating Random Forest and Logistic Regression is proposed and implemented for genome-wide epistasis study. The two-stage approach first uses random forest model to capture a pool of epistasis-prone single nucleotide polymorphisms (SNPs), followed by using logistic regression to identify the significant pair-wise epistasis SNPs. We tested the proposed framework on data obtained from...
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