five

Additional file 9 of Unsupervised feature extraction using deep learning empowers discovery of genetic determinants of the electrocardiogram

收藏
DataCite Commons2025-10-10 更新2026-02-09 收录
下载链接:
https://springernature.figshare.com/articles/dataset/Additional_file_9_of_Unsupervised_feature_extraction_using_deep_learning_empowers_discovery_of_genetic_determinants_of_the_electrocardiogram/30325908/1
下载链接
链接失效反馈
官方服务:
资源简介:
Additional file 9: GWAS regions FDR. This file contains the significant regions from the LF GWAS analysis at the relaxed significance threshold of % FDR, including the prioritised genes based on the different selection methods and the top SNP for each region.
提供机构:
figshare
创建时间:
2025-10-10
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作