Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models

Image credit: Lingyu Li

摘要

The successful identification of breast cancer (BRCA) prognostic biomarkers is essential for the strategic interference of BRCA patients. Recently, various methods have been proposed for exploring a small prognostic gene set that can distinguish the high-risk group from the lower-risk group.

出版物
In Journal of Translational Medicine
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李苓玉
李苓玉
博士后研究员

研究方向为生物信息学,包括并不限于:空间转录组学分析、稀疏统计学习和生物标志物识别。