Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models
Image credit: Lingyu Li
Abstract
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.
Type
Publication
In Journal of Translational Medicine
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Lingyu Li
Postdoctoral Fellow
Focus on bioinformatics, including but not limited to spatial transcriptomics analysis, sparse statistical learning and biomarker identification.