Interpretations of Machine Learning and Their Application to Therapeutic Design
We introduce a framework for interpreting black-box machine learning (ML) models, discover overinterpretation as a failure mode of deep neural networks, and discuss how ML methods can be applied for therapeutic design, including a pan-variant COVID-19 vaccine. While ML models are widely deployed an...
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/151487 https://orcid.org/0000-0002-6318-2521 |