Learning graph representations for disease gene prediction
The analysis of disease-causing conditions based on genes and their protein products plays a crucial role in the diagnosis and treatment of several serious diseases such as cancer and diabetes. Since experimental techniques are time-consuming and expensive, computational methods preserve their signi...
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Main Author: | Ata, Kircali Sezin |
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Other Authors: | - |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/137913 |
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Institution: | Nanyang Technological University |
Language: | English |
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