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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Identifiers and source
- Literature Corpus work
- e0073b23-ff76-5d41-a1bc-3bfa1c28cb83
- DOI
- 10.21203/rs.3.rs-7401674/v1
