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Published August 22, 2019 | Version v1
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Interpretable classification of molecular measurements via pathway-induced multiple kernel learning

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Description

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.

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pimkl_slides_ismbeccb2019.pdf

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Additional details

Funding

PrECISE – PERSONALIZED ENGINE FOR CANCER INTEGRATIVE STUDY AND EVALUATION 668858
European Commission