GEO series
Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer
GSE264550
Homo sapiens
Genome binding/occupancy profiling by high throughput sequencing
25 samples
2024/04/22
GPL18573
Summary
We performed ATAC-seq in a set of 25 gastric cancer cell lines to detect differential activation of regulatory programs.
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NCBI GEO page ↗
Paper (PMID 38777607) ↗
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