GenoTEX: AI-Driven Gene Expression Analysis
| Type | research |
|---|---|
| Area | AICompBio |
| Published(YearMonth) | 2406 |
| Source | https://arxiv.org/abs/2406.15341 |
| Tag | newsletter |
| Checkbox | |
| Date(of entry) |
GenoTEX: Evaluating LLMs in Gene Expression Data Analysis
The GenoTEX benchmark evaluates large language models (LLMs) in automating gene expression data analysis. It includes tasks such as dataset selection, preprocessing, and statistical analysis, following standard computational genomics procedures. GenoAgents, a team of LLM-based agents, utilize context-aware planning, iterative correction, and domain expert consultation to tackle these tasks. The study shows promising results in accuracy and efficiency, highlighting the potential and challenges of AI in genomics research.