Targeted drug discovery with adversarial graph autoencoders conditioned on gene expression data
Drug discovery has long been an expensive and inefficient process due to the vast chemical compound search space. This process has been iteratively sharpened and refined using computational approaches in order to narrow the scope of search. Separately, machine learning, in particular deep learnin...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/166090 |
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| Institution: | Nanyang Technological University |
| Language: | English |