five

Additional file 7 of Unsupervised feature extraction using deep learning empowers discovery of genetic determinants of the electrocardiogram

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NIAID Data Ecosystem2026-05-10 收录
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https://figshare.com/articles/dataset/Additional_file_7_of_Unsupervised_feature_extraction_using_deep_learning_empowers_discovery_of_genetic_determinants_of_the_electrocardiogram/30325902
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Additional file 7: Polyfun likely causal variants: this file contains the likely causal variants for each genomic region associated with the LFs in the GWAS analysis. These variants were used for downstream annotation with the nearest protein-coding gene and gene prioritisation.

补充文件7:Polyfun潜在致病变异:本文件包含全基因组关联研究(Genome-Wide Association Study, GWAS)中与LFs相关的各基因组区域的潜在致病变异。这些变异被用于后续的邻近蛋白编码基因注释及基因优先级排序分析。
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2025-10-09
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