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Prediction of Breast Cancer Estrogen Receptor Status using Machine Learning

ABSTRACT: 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. RNA was isolated from 199 primary breast cancer patients. A machine learning classifier was built to predict ER status using only three gene features.

ORGANISM(S): Homo sapiens

SUBMITTER: Kathryn Graham

PROVIDER: E-GEOD-29210 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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