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Uncertainty-aware transcription factor activity and perturbation inference without additional training

2025-10-06

Abstract excerpt

Understanding how transcription factors (TFs) control gene expression is essential for deciphering cellular regulatory programs. However, estimating TF activity remains challenging. Current methods rely on either broad TF–target databases, which increase false positives, or on curated sets with limited coverage. Most methods lack uncertainty quantification. Here, we introduce TFActProfiler, an integrated resource...

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Literature Corpus work
1b170dfe-646a-5f53-8dde-21e85e6f37cf
DOI
10.1101/2025.10.05.680506
Open publication

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Uncertainty-aware transcription factor activity and perturbation inference without additional trainingDOI 10.1101/2025.10.05.680506
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