Article

Multi-modal tissue-aware graph neural network for <i>in silico</i> genetic discovery

2026-02-18

Abstract excerpt

Understanding how perturbations influence gene function in a tissue-specific manner is key to uncovering novel drug targets. However, current computational approaches emphasize global network or sequence-derived features over context-driven dependencies. We introduce Mahi, a scalable and interpretable graph neural network framework that learns gene representations by integrating chromatin accessibility, transcript...

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Literature Corpus work: 25232716-55a2-53d0-bad3-0966d6c3fd6a
DOI: 10.64898/2026.02.17.706433

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