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CancerSubminer: an integrated framework for cancer subtyping using supervised and unsupervised learning on DNA methylation profiles

2025-10-17

Abstract excerpt

Human cancer is highly heterogeneous, resulting in variable drug resistance and clinical outcomes. This complexity hinders accurate prognosis prediction and the development of targeted therapies. Molecular subtyping addresses these challenges by grouping cancers into more homogeneous subsets based on molecular characteristics, enabling subtype-specific treatment strategies. Subtyping is crucial for early diagnosis...

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Literature Corpus work
5c806a48-bc36-525a-8e6c-f4ce84223d9f
DOI
10.1101/2025.10.17.682936
Open publication

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CancerSubminer: an integrated framework for cancer subtyping using supervised and unsupervised learning on DNA methylation profilesDOI 10.1101/2025.10.17.682936
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