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Article

Context-aware LLM extraction and controlled-vocabulary normalization of GEO transcriptomic sample metadata

2026-08-31

Abstract excerpt

<title>Abstract</title> <p> <bold>Motivation</bold> Public transcriptomic repositories contain millions of samples, but reuse is limited by inconsistent depositor-provided metadata. In the Gene Expression Omnibus (GEO), biologically critical fields such as tissue, disease state and treatment are frequently encoded within heterogeneous free text descriptions, undefined abbreviations/acronyms, or implicit experim...

Identifiers and source

Literature Corpus work
0017f1d2-07d2-57dc-8ecf-a6682b6a69f8
DOI
10.21203/rs.3.rs-10844781/v1
Open publication

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Context-aware LLM extraction and controlled-vocabulary normalization of GEO transcriptomic sample metadataDOI 10.21203/rs.3.rs-10844781/v1
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