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TFActProfiler is presented, a TF–mRNA resource and computational framework that learns signed, quantitative TF–mRNA regulatory coefficients by integrating heterogeneous prior evidence (ChIP-based, motif-based, and curated TF–mRNA annotations) with large-scale bulk and single-cell RNA-seq atlases.
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