Small patient datasets reveal genetic drivers of non-small cell lung cancer subtypes using machine learning for hypothesis generation
Aim: Many small datasets of significant value exist in the medical space that are being underutilized. Due to the heterogeneity of complex disorders found in oncology, systems capable of discovering patient subpopulations while elucidating etiologies are of great value as they can indicate leads for...
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| Main Authors: | , , , , , , |
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| Format: | Book |
| Published: |
Open Exploration Publishing Inc.,
2023-07-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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