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Author

Fu-Ying Dao

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Open access Aug 2026

AI4Loop: an Artificial Intelligence Framework Reveals Increased 3D Chromatin Interactions and Therapeutic Vulnerabilities across 12,000 Cancer Samples

Three-dimensional chromatin interactions shape gene regulation, but their large-scale analysis remains limited by the cost and complexity of experimental assays. Here we present AI4Loop, a deep learning framework that infers genome-wide gene-centered chromatin interaction networks directly from RNA-seq data. Across mul...

Fu-Ying Dao, Benjamin Lebeau, Prachi Amuley et al. · 0 citations
Aug 2026

AcrPLMEvo: A Two-Stage Framework Integrating Evolutionary Profiles with Protein Language Models for Anti-CRISPR Prediction.

Anti-CRISPR (Acr) proteins are natural inhibitors of CRISPR-Cas systems and are important regulators for controllable genome-editing applications. However, their computational identification remains challenging because Acrs are sequence-diverse, weakly conserved, and supported by limited labeled data. Here, we present...

K. Tan, Wei-Di Sun, M. Fullwood et al. · 0 citations

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