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Detection of gene pathways with predictive power for breast cancer prognosis
Authors:Shuangge Ma and Michael R Kosorok
Affiliation:(1) School of Public Health, Yale University, New Haven, CT 06520, USA;(2) Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
Abstract:

Background  

Prognosis is of critical interest in breast cancer research. Biomedical studies suggest that genomic measurements may have independent predictive power for prognosis. Gene profiling studies have been conducted to search for predictive genomic measurements. Genes have the inherent pathway structure, where pathways are composed of multiple genes with coordinated functions. The goal of this study is to identify gene pathways with predictive power for breast cancer prognosis. Since our goal is fundamentally different from that of existing studies, a new pathway analysis method is proposed.
Keywords:
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