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Integrating Gene Expression and Proteomics for Breast Cancer Biomarker Prediction through a Deep Learning Framework with SHAP-Based Explainability

2025-08-27

Abstract excerpt

<title>Abstract</title> <p>Breast cancer treatment hinges on accurately identifying key biomarkers: Estrogen Receptor (ER), Progesterone Receptor (PR), and Human Epidermal Growth Factor Receptor 2 (HER2). In this study, it is intended to use deep learning strategies to achieve the study objectives. The first is a Convolutional Neural Network (CNN) designed specifically for each biomarker, while the second is a ho...

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Literature Corpus work
2f8f85cc-2e1b-53e4-978f-a1f51a3b4ee2
DOI
10.21203/rs.3.rs-7151673/v1
Open publication

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Integrating Gene Expression and Proteomics for Breast Cancer Biomarker Prediction through a Deep Learning Framework with SHAP-Based ExplainabilityDOI 10.21203/rs.3.rs-7151673/v1
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