Eight frontier LLMs, one RNA-seq dataset. We had them reproduce a published Candida auris analysis by using Orbit to drive Galaxy. Six models independently repl
Researchers used eight advanced large language models to reanalyze an RNA-sequencing dataset for Candida auris, aiming to reproduce a prior study. Six of the models successfully replicated the original finding regarding SCF1 downregulation. The study also highlighted significant cost variations among the models, with API expenses ranging from $2.82 to $131.83 for the same analysis. AI
IMPACT Demonstrates LLM capabilities in scientific research and highlights cost-efficiency differences between models.