Article

Biologically interpretable deep learning to predict response to immunotherapy in advanced melanoma using mutations and copy number variations

2022-07-01

Abstract excerpt

Only 30–40% of advanced melanoma patients respond effectively to immunotherapy in clinical practice, so it’s necessary to accurately identify the response of melanoma patients to immune therapy pre-clinically. Here we developed the KP-NET, a deep learning model whose structure is sparse by the KEGG pathways, which can accurately predict melanoma patients’ response to immunotherapy using information at the pathway...

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Literature Corpus work: ee5ba4a2-45ff-5f08-a67b-67a0a81b47f2
DOI: 10.21203/rs.3.rs-1784695/v1

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