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

Name: Interpretable classification of molecular measurements via pathway-induced multiple kernel learning
Creator: Cadow Joris
Keywords: molecular measurements

descriptionPublicationkeyboard_double_arrow_right Presentation 22 Aug 2019Publisher:ZenodoFunded by:EC | PrECISE

Authors: Cadow Joris;

doi: 10.5281/zenodo.3374392 , 10.5281/zenodo.3374393

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

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Abstract

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

Keywords

molecular measurements

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