Machine learning approaches for predicting methylation sensitive CpG island sequences and disease-free interval in ovarian cancer

초록

Differential methylation hybridization (DMH) is an effective technique for monitoring DNA methylation profiles of tumors. Using DMH profiles from 19 ovarian tumors, subdivided into high- / low-methylation subgroups, we utilized supervised machine-learning techniques to successfully construct classifiers to discriminate long- / short-term survival with over 90% accuracy.

제목
Machine learning approaches for predicting methylation sensitive CpG island sequences and disease-free interval in ovarian cancer
저자
YOO SUNG KIM
학회명
International Conference on Intelligent Systems for Molecular Biology