Use of Machine Learning in Genomic Biomarker Identification and Predicting Breast Cancer Metastasis - A Comparative Study

Breast cancer has highest incidence in the world among all the cancers. Breast cancer also has very high rate of metastasis. Gene expression data can be analyzed for diagnoses and prognoses. Using machine learning models genomic biomarkers can be identified that predict metastasis. This information will be useful to develop appropriate treatment plan, take proactive steps to regularly monitor for metastasis and an early diagnosis. XGBoost and CNN machine learning algorithms were chosen to compare on their predictiveness to identify genomic biomarkers that are predictive of metastasis.