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Predicting the development of malignant breast cancer based on biopsies of benign breast disease

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Breast Cancer Risk Stratification Using Somatic Genomic Aberrations of Benign Breast Biopsies

The goal of this project is to use somatic mutations and copy-number alterations (CNAs) in benign breast biopsies to develop a machine learning model to predict the individual's risk for breast cancer.

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Predicting the development of malignant breast cancer based on biopsies of benign breast disease

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