GEO series
Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer (RNA-Seq)
GSE266159
Homo sapiens
Expression profiling by high throughput sequencing
13 samples
2024/04/29
GPL11154
Summary
We performed RNA-seq in a set of 13 gastric cancer cell lines to detect differential activation of regulatory programs.
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Paper (PMID 38777607) ↗
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