Input your DEGs list to discover the potential TFs driving your pathway of interest！
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Data Upload
Tip: First-time users are recommended to click "Load Demo Data" to test the workflow.
Please check the format requirements below before uploading your files.
Configuration
CatBoost
LightGBM
(Fast)
Co-Exp
ChIP-seq
Yes (Filter)
No (All)
Result Viewer
ROC Curve
Metrics
PURE: Plant Universal Expression and Regulation Explorer
PURE is an interpretable framework designed to construct Gene Regulatory Networks (GRNs) and identify key transcription factors (TFs) in plants.
By integrating co-expression patterns, sequence motifs, and orthology-projected in vivo binding evidence, PURE overcomes regulatory data sparsity in non-model species. It employs interpretability-first machine learning (CatBoost + SHAP) to decode transcriptomic programs, allowing researchers to prioritize high-confidence regulators governing stress responses, development, and specific metabolic pathways.
