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scGenAI: A generative AI platform with biological context embedding of multimodal features enhances single cell state classification

2025-05-13

Abstract excerpt

<h4>Summary</h4> Single-cell sequencing has advanced the understanding of cellular heterogeneity, yet traditional cell type annotation tools struggle with increasingly complex datasets and multimodal integration. Recent large language models (LLMs) offer improved accuracy but rely on pre-trained models with limited gene vocabularies and lack of biological contextualization. These constraints make it challenging t...

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Literature Corpus work
e9fb8e86-77e1-53ef-8df1-9b4105dd236f
DOI
10.1101/2025.05.07.652733
Open publication

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scGenAI: A generative AI platform with biological context embedding of multimodal features enhances single cell state classificationDOI 10.1101/2025.05.07.652733
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