Screening of glioma susceptibility SNPs and construction of risk models based on machine learning algorithms
Abstract Background Glioma is a common primary malignant brain tumor. This study aimed to develop a predictive model for glioma risk by these screened key SNPs in the Chinese Han population. Methods These 614 participants were randomly assigned to two datasets: a training dataset (217 cases and 213...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-06-01
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| Series: | BMC Neurology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12883-025-04262-w |
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