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Deep neural network modeling identifies biomarkers of response to immune-checkpoint therapy

9 Apr 2022

Abstract excerpt

Immunotherapy has shown significant promise as a treatment for cancer, such as lung cancer and melanoma. However, only 10%–30% of the patients respond to treatment with immune checkpoint blockers (ICBs), underscoring the need for biomarkers to predict response to immunotherapy. Here, we developed DeepGeneX, a computational framework that uses advanced deep neural network modeling and feature elimination to reduce...

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PMID: 35494249
DOI: 10.1016/j.isci.2022.104228

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