{"url":"/dataset/genotex","name":"GenoTEX","full_name":"An LLM Agent Benchmark for Automated Gene Expression Data Analysis","description_markdown":"GenoTEX (**Geno**mics Data Au**t**omatic **Ex**ploration Benchmark) is a benchmark dataset for the automated analysis of gene expression data to identify disease-associated genes while considering the influence of other biological factors. It provides analysis code and results for solving a wide range of gene-trait association (GTA) analysis problems, encompassing dataset selection, preprocessing, and statistical analysis, in a pipeline that follows computational genomics standards. The benchmark includes expert-curated annotations from bioinformaticians to ensure accuracy and reliability.","description_withheld":null,"homepage":"https://github.com/Liu-Hy/GenoTEX","introduced_date":"2025-02-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/genotex-a-benchmark-for-evaluating-llm-based","title":"GenoTEX: An LLM Agent Benchmark for Automated Gene Expression Data Analysis","first_author":"Haoyang Liu","url":null},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Tabular","url":"/datasets/modality/tabular"}],"tasks":[{"name":"Code Generation","url":"/task/code-generation","datasets_with_task":"/datasets/task/code-generation"},{"name":"AutoML","url":"/task/automl","datasets_with_task":"/datasets/task/automl"},{"name":"Benchmarking","url":"/task/benchmarking","datasets_with_task":"/datasets/task/benchmarking"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["GenoTEX"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}