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Thought Graph: Generating Thought Process for Biological Reasoning (2403.07144v1)

Published 11 Mar 2024 in cs.CL

Abstract: We present the Thought Graph as a novel framework to support complex reasoning and use gene set analysis as an example to uncover semantic relationships between biological processes. Our framework stands out for its ability to provide a deeper understanding of gene sets, significantly surpassing GSEA by 40.28% and LLM baselines by 5.38% based on cosine similarity to human annotations. Our analysis further provides insights into future directions of biological processes naming, and implications for bioinformatics and precision medicine.

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References (12)
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Citations (4)

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