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1.
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A major challenge in precision oncology is accurately modeling the molecular machinery that governs cellular sensitivity or resistance to a given drug or drug combination [...]
2020 |
Abstract |
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2.
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Accurate classification of cancer subtypes based on genomic data is a key component of precision oncology. Subtyping allows for better alignment of therapeutics with the [...]
2022-04-21 |
Abstract |
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3.
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The work presented in this dissertation focuses on the development of robust deep learning models to predict in-vitro cancer drug responses, with utility in precision onc [...]
2024-09-19 |
Dissertation |
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