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Article

Breast Cancer Biomarker Discovery Using Explainable Machine Learning on Expression-Level Signatures

2025-10-06

Abstract excerpt

<title>Abstract</title> <p>0.1 Background. Identifying biomarkers associated with the broad heterogeneity of breast cancer (BC) is crucial for advancing patient management and improving treatment outcomes. However, prior BC signal transduction network (STN) activity research generalises gene expression and primarily focuses on a limited subset of BC STNs and network-genes of interest, overlooking expressionlevel...

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Literature Corpus work
e0073b23-ff76-5d41-a1bc-3bfa1c28cb83
DOI
10.21203/rs.3.rs-7401674/v1
Open publication

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Breast Cancer Biomarker Discovery Using Explainable Machine Learning on Expression-Level SignaturesDOI 10.21203/rs.3.rs-7401674/v1
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