Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer
收藏NIAID Data Ecosystem2026-05-10 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP503330
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资源简介：
We performed ATAC-seq in a set of 25 gastric cancer cell lines to detect differential activation of regulatory programs. Overall design: ATAC-seq chromatin accessibility profiling of 25 gastric cancer cell lines. UPDATE: [Feb-12-2026] For GSM8219921, SNU84 was changed to AGS in the title, source name, and cell line.
创建时间：
2026-02-13
