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Interpretable classification of molecular measurements via pathway-induced multiple kernel learning

Cadow Joris


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    "description": "<p>Roadmap</p>\n\n<p>Molecular data classification: use network topology as a regulariser, define meta-features using pathway information Pathway-Induced. Multiple Kernel Learning (PIMKL):&nbsp;concept,&nbsp;pathway induction,&nbsp;multiple kernel learning PIMKL benchmarking: benchmark against other prior knowledge informed methods on multiple breast cancer cohorts.<br>\nPIMKL application: detects tumor samples accurately,&nbsp;integrates multiple omics seamlessly,&nbsp;identifies relevant pathways for each data type.</p>", 
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