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Additional file 2: of Stochastic epigenetic outliers can define field defects in cancer

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DataCite Commons2024-12-13 更新2024-07-25 收录
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https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Stochastic_epigenetic_outliers_can_define_field_defects_in_cancer/4343987
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GSEA result tables of hypervariable DVCs, as identified using iEVORA, in the normal breast study comparing normal breast from healthy women to normal breast adjacent to breast cancer. There are 4 tables, corresponding to hypervariable DVCs mapping to TSS1500, TSS200 or 1st Exon regions, and which are hypermethylated (dvUPdmUP) or hypomethylated (dvUPdmDN) in normal-adjacent tissue, as well as hypervariable DVCs mapping to gene-body or 5â ˛UTR regions, which are hypermethylated (dvUPdmUP-GB) or hypomethylated (dvUPdmDN-GB) in normal-adjacent tissue. In each case, the columns label the number of genes in the MSigDB database list (nList), the number present prior to iEVORA analysis (nRep), the corresponding fraction (fRep), the number of genes overlapping with the iEVORA selected list (nOVLAP), the corresponding odds ratio (OR) and one-tailed Fisher test P-value (P-value), the adjusted P-value using Benjamini-Hochberg correction, and the gene symbols of the genes present in the overlap. (XLS 54 kb)
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Figshare
创建时间:
2016-12-14
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