Alzheimer’s Disease Risk Prediction Dataset
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/HLTCHKUST/snp2vec
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资源简介:
该数据集包含了来自624名香港老年人群的基因组序列,旨在预测晚发型阿尔茨海默病(LOAD)。这些基因组序列数据是从位于19号染色体的APOE区域收集的,该区域与中国人群体中的阿尔茨海默病高度相关。数据规模包括624名受试者,其中384名为阿尔茨海默病携带者,240名为非携带者。该数据集的任务是预测阿尔茨海默病的风险。
This dataset comprises genomic sequences from 624 elderly Hong Kong residents, with the goal of predicting late-onset Alzheimer's disease (LOAD). The genomic sequence data were collected from the APOE locus on chromosome 19, which is highly associated with Alzheimer's disease in the Chinese population. The dataset includes a total of 624 subjects, among whom 384 are Alzheimer's disease carriers and 240 are non-carriers. The core task of this dataset is to predict the risk of Alzheimer's disease.



