Liu-Hy/GenoTEX
GenoTEX: An expert-curated benchmark for evaluating LLM agents on real-world gene expression analysis tasks. (MLCB 2025 Oral)
The benchmark comprises 1,384 gene-trait association problems with 41.5 GB of input data (911 datasets) and 237,907 lines of expert-annotated analysis code covering dataset selection, preprocessing, and statistical inference. Problems span both unconditional analysis and conditional scenarios (accounting for factors like age or co-existing traits), with inputs sourced from GEO and TCGA public databases. The framework enables evaluation of LLM agents on standardized computational genomics workflows, with reference implementations and ground-truth results provided for validation.
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Oct 13, 2025
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