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pro vyhledávání: '"Yik Ying Teo"'
Autor:
Yik Ying Teo, Zhuo Zhang, Chee Keong Kwoh, Chiea Chuen Khor, Jiang Liu, E. Shyong Tai, Tin Aung, Zehao Tan, Tien Yin Wong, Sim Heng Ong, Eranga N. Vithana
Publikováno v:
EMBC
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 polymorphis