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Thought Graph: Generating Thought Process for Biological Reasoning
- Publication Year :
- 2024
-
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.<br />Comment: 4 pages. Accepted by Web Conf 2024
- Subjects :
- Computer Science - Computation and Language
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2403.07144
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1145/3589335.3651572