Prediction of Breast Cancer Estrogen Receptor Status using Machine Learning. Homo sapiens

Gene expression profiles were generated from 199 primary breast cancer patients. Samples 1-176 were used in another study, GEO Series GSE22820, and form the training data set in this study. Sample numbers 200-222 form a validation set. This data is used to model a machine learning classifier for Estrogen Receptor Status. Overall design: RNA was isolated from 199 primary breast cancer patients. A machine learning classifier was built to predict ER status using only three gene features.