cGSA combines gene clustering, enrichment analysis, and LLM filtering to prioritize contextually relevant pathways, beating g:Profiler, GPT-4o, and Llama baselines by over 30% on a new manually curated benchmark.
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Knowledge-guided Contextual Gene Set Analysis Using Large Language Models
cGSA combines gene clustering, enrichment analysis, and LLM filtering to prioritize contextually relevant pathways, beating g:Profiler, GPT-4o, and Llama baselines by over 30% on a new manually curated benchmark.