ai九分钟完成了转录组差异分析算快吗
TL;DR - An AI completed a transcriptomic differential-expression and enrichment workflow in nine minutes, but incorrect sample metadata initially produced misleading results. Expert-guided quality control corrected the grouping and recovered the study’s expected biological signal.
- Checking DAPK3 expression identified the true knockout and control samples.
- Corrected grouping increased significant DEGs from 29 to 1,603; DAPK3 reached log2FC −1.20 with padj 2.4e−12.
- Reanalysis found EMT downregulation (NES −2.10, padj 1.6e−9) and increased interferon responses.
- GEO reanalysis should validate treatment or knockout markers rather than blindly trust metadata.