Additional file 9 of Unsupervised feature extraction using deep learning empowers discovery of genetic determinants of the electrocardiogram
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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
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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：
Thami, Prisca K.; Curran, Lara; Loeys, Bart; McGurk, Kathryn A.; Patlatzoglou, Konstantinos; Waks, Jonathan W.; Buchan, Rachel J.; Ware, James S.; Mangino, Massimo; Kramer, Daniel B.; Peters, Nicholas S.; Ng, Fu Siong; Sau, Arunashis; Pastika, Libor; Sieliwonczyk, Ewa; Theotokis, Pantazis; Powell, George; Zheng, Sean L.
创建时间：
2025-10-10
