Resolving the molecular complexity of brain tumors through machine learning approaches for precision medicine
Glioblastoma (GBM) tumors are highly aggressive malignant brain tumors and are resistant to conventional therapies. The Cancer Genome Atlas (TCGA) efforts distinguished histologically similar GBM tumors into unique molecular subtypes. The World Health Organization (WHO) has also since incorporated k...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2019
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| Online Access: | https://hdl.handle.net/10356/136519 |