Poster Open Access
Manica Matteo; Cadow Joris; Mathis Roland; Rodriguez Martinez Maria
{ "description": "<p>What</p>\n\n<p>• Accurate phenotype classification<br>\n• Biological interpretability<br>\n• Robustness to noise<br>\n• Handling curse of dimensionality</p>\n\n<p>How</p>\n\n<p>Exploit prior knowledge from biological<br>\nnetworks<br>\n• Apply multiple kernel learning for<br>\nfeature encoding<br>\n• Use pathway annotations to enable<br>\ninterpretability</p>", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "@type": "Person", "name": "Manica Matteo" }, { "@type": "Person", "name": "Cadow Joris" }, { "@type": "Person", "name": "Mathis Roland" }, { "@type": "Person", "name": "Rodriguez Martinez Maria" } ], "url": "https://zenodo.org/record/3374413", "datePublished": "2019-08-22", "@type": "CreativeWork", "keywords": [ "multiple kernel learning" ], "@context": "https://schema.org/", "identifier": "https://doi.org/10.5281/zenodo.3374413", "@id": "https://doi.org/10.5281/zenodo.3374413", "workFeatured": { "url": "https://www.iscb.org/ismbeccb2019-program/tutorials", "alternateName": "ISMB/ECCB 2019", "location": "Basel, Switzerland", "@type": "Event", "name": "27th Conference on Intelligent Systems for Molecular Biology and the 18th European Conference on Computational Biology" }, "name": "PIMKL: Pathway Induced Multiple Kernel Learning" }
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