Article

Transformers Enhance the Predictive Power of Network Medicine

2025-01-28

Abstract excerpt

<h4>Background</h4> Self-attention mechanisms and token embeddings behind transformers allow the extraction of complex patterns from large datasets, and enhance the predictive power over traditional machine learning models. Yet, being trained to make predictions about individual cells or genes, it is not clear if transformers can learn the inherent interaction patterns between genes, ultimately responsible for th...

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Literature Corpus work: 2b22639f-6704-5e26-ab83-cf35487d1621
DOI: 10.1101/2025.01.27.25321204

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