Enformer Celltyping SNP effect predictions aggregated by sum

Enformer Celltyping's SNP effect predictions for the SNPs in the 6 phase 2 Blueprint hQTL datasets aggregated by sum. This is split by cell type (6 cell type predictions for 6 histone marks) and by QTL dataset (6 QTL sets). This is 6 CTs * 6 HMs * 6 hQTL = 216 separate sets of predictions (dataframes). Each set of predictions is also split by chromosome in it's own folder to comply with the expected format for SLDP.

针对6个经求和聚合的Blueprint二期组蛋白数量性状基因座（hQTL，histone Quantitative Trait Locus）数据集内的单核苷酸多态性（SNP，Single Nucleotide Polymorphism），Enformer细胞分型工具生成了对应的SNP效应预测结果。该数据集按细胞类型（针对6种组蛋白修饰（HM，Histone Mark）生成6组细胞类型预测结果）与QTL数据集（共包含6个QTL集）两个维度进行拆分，最终得到6个细胞类型 ×6种组蛋白修饰 ×6个hQTL数据集，总计216个独立的预测集（数据框格式）。每个预测集还会按染色体进一步拆分至各自专属的文件夹中，以符合SLDP的预期输入格式。