Screening of key risk SNPs for glioma based on machine learning algorithms
收藏NIAID Data Ecosystem2026-03-14 收录
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https://zenodo.org/record/7592615
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资源简介：
Glioma is a common primary malignant brain tumor and is the most aggressive and lethal solid tumor, accounting for approximately 80% of all intracranial malignancies. Our aim was to screen key SNP by LASSO regression and random forest (a machine learning algorithm) and construct a model based on these SNP to predict the risk of glioma in Chinese Han population.
创建时间：
2023-02-02
