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Article

Pathway-based machine learning for breast cancer risk stratification: an interpretable framework validated in two independent cohorts

2026-04-08

Abstract excerpt

<title>Abstract</title> <p>Background. Patients with the same breast cancer molecular subtype can have markedly different survival outcomes. Standard PAM50 subtype labels group patients into five categories but do not explain within-subtype variability. Gene expression data provide deeper biological insight, yet models using thousands of genes are often difficult to interpret and prone to overfitting in small dat...

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Literature Corpus work
10f37cc1-47ab-528d-9f1e-fe47bfbc46b0
DOI
10.21203/rs.3.rs-9297397/v1
Open publication

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Pathway-based machine learning for breast cancer risk stratification: an interpretable framework validated in two independent cohortsDOI 10.21203/rs.3.rs-9297397/v1
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