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An Agentic System for Natural Language Querying of The Cancer Genome Atlas Clinical Data

2025-10-10

Abstract excerpt

<title>Abstract</title> <p>The Cancer Genome Atlas (TCGA) contains extensive clinical data for thousands of cancer patients, yet accessing this information remains challenging due to complex file structures and heterogeneous data formats. This paper presents a novel agentic system that enables natural language querying of TCGA clinical data through an intelligent combination of rule-based extraction, statistical...

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Literature Corpus work
f30b6d5f-0f96-55de-8097-39a41be70467
DOI
10.21203/rs.3.rs-7557593/v1
Open publication

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