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METANet: A supervised ensemble learning framework for reconstructing direct and functional tissue-specific transcription factor networks

2025-10-13

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Motivation</h4> Reconstructing tissue-specific transcription factor (TF) networks remains challenging. TF motif-based methods often lack functional validation, while expression-based methods struggle to distinguish direct binding from indirect regulation. Integration of diverse data types is necessary to accurately prioritize functional targets directly bound by TFs across human tissues. <h...

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Literature Corpus work
1724737a-0606-5af9-b180-1145a563a417
DOI
10.1101/2025.10.10.681634
Open publication

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METANet: A supervised ensemble learning framework for reconstructing direct and functional tissue-specific transcription factor networksDOI 10.1101/2025.10.10.681634
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