2022
DOI: 10.21203/rs.3.rs-1468401/v1
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Novel Gene Signatures Predicting Breast Cancer Based on Random Forest and Artificial Neural Network

Abstract: Background Breast cancer is the most common malignancy in women worldwide, which seriously threatens women's physical and mental health, but currently, there is no classification method for tumor samples based on gene expression profiles for faster breast cancer diagnosis. The study aimed to establish a novel genetic model to distinguish breast cancer patients from the normal population.Results We utilized published expression profiles of breast cancer patients (GSE15852, GSE70905) to identify potential predic… Show more

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