Article

Automating scientific annotations for open transcriptomic profiles via multi-stage agents

2026-08-20

Abstract excerpt

Public transcriptomic repositories contain millions of samples, yet their large-scale reuse is hindered by heterogeneous and inconsistently reported metadata. In the Gene Expression Omnibus (GEO), key biological information is often distributed across study- and sample-level records, requiring context-dependent interpretation. Here we present GEOMeta, a large language model (LLM)-based multi-stage workflow with ta...

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Literature Corpus work: 44d996dc-a124-5f71-ab1f-d5880e1da617
DOI: 10.64898/2026.08.19.745739

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