Recognizing Novel Tumor Suppressor Genes Using a Network Machine Learning Strategy
Extensive research on tumor suppressor genes (TSGs) is helpful to understand the pathogenesis of cancer and design effective treatments. However, using traditional experiments to identify TSGs is of high costs and time-consuming. It is an alternative way to design effective computational methods for...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8882219/ |