Article

Transformer-based artificial intelligence on single-cell clinical data for homeostatic mechanism inference and rational biomarker discovery

2025-03-25

Abstract excerpt

Artificial intelligence (AI) applied to single-cell data has the potential to transform our understanding of biological systems by revealing patterns and mechanisms that simpler traditional methods miss. Here, we develop a general-purpose, interpretable AI pipeline consisting of two deep learning models: the Multi- Input Set Transformer++ (MIST) model for prediction and the single-cell FastShap model for interpret...

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Literature Corpus work: c9aa2376-b445-56e0-8a34-86f7d319c1b3
DOI: 10.1101/2025.03.24.25324556

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