Liu-Hy/GenoTEX
GenoTEX: An expert-curated benchmark for evaluating LLM agents on real-world gene expression analysis tasks. (MLCB 2025 Oral)
This project provides a comprehensive collection of gene expression data and analysis scripts, curated by bioinformatics experts. It helps researchers automate the process of identifying genes linked to diseases, taking into account other biological factors like age or gender. You provide raw gene expression data, and the project outputs preprocessed datasets and lists of statistically significant genes, streamlining complex genomic investigations for biomedical scientists.
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Use this if you are a biomedical researcher or bioinformatician looking to standardize and accelerate the identification of disease-associated genes from large-scale gene expression data.
Not ideal if you are looking for a general-purpose machine learning dataset or a tool for clinical diagnosis directly, as this is focused on research-grade gene expression analysis.
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Oct 13, 2025
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