Thought Graph: Generating Thought Process for Biological Reasoning
arxiv(2024)
摘要
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
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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