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DeepSeq: High-Throughput Single-Cell RNA Sequencing Data Labeling via Web Search-Augmented Agentic Generative AI Foundation Models

2025-06-23

Abstract excerpt

Generative AI foundation models offer transformative potential for processing structured biological data, particularly in single-cell RNA sequencing, where datasets are rapidly scaling toward billions of cells. We propose the use of agentic generative AI foundation models with real-time web search to automate the labeling of experimental data, achieving up to 82.5% accuracy. This addresses a key bottleneck in supe...

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Identifiers and source

Literature Corpus work
fb6f294d-3b13-5507-98a5-c85a0542913c
DOI
10.1101/2025.06.17.660107
Open publication

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DeepSeq: High-Throughput Single-Cell RNA Sequencing Data Labeling via Web Search-Augmented Agentic Generative AI Foundation ModelsDOI 10.1101/2025.06.17.660107
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