arXiv Open Access 2024

Thought Graph: Generating Thought Process for Biological Reasoning

Chi-Yang Hsu Kyle Cox Jiawei Xu Zhen Tan Tianhua Zhai +5 lainnya
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Abstrak

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.

Topik & Kata Kunci

Penulis (10)

C

Chi-Yang Hsu

K

Kyle Cox

J

Jiawei Xu

Z

Zhen Tan

T

Tianhua Zhai

M

Mengzhou Hu

D

Dexter Pratt

T

Tianlong Chen

Z

Ziniu Hu

Y

Ying Ding

Format Sitasi

Hsu, C., Cox, K., Xu, J., Tan, Z., Zhai, T., Hu, M. et al. (2024). Thought Graph: Generating Thought Process for Biological Reasoning. https://arxiv.org/abs/2403.07144

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Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
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arXiv
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Open Access ✓