基础模型出现时的分子因果关系

arXiv - QuanBio - Molecular Networks Pub Date : 2024-01-17 DOI:arxiv-2401.09558

Sebastian Lobentanzer, Pablo Rodriguez-Mier, Stefan Bauer, Julio Saez-Rodriguez

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引用次数: 0

摘要

相关性不是因果关系。尽管这一广为认同的说法看似简单，但科学地定义因果关系并用它来推动现代生物医学研究却极具挑战性。在这一视角中，我们试图将系统生物学、因果推理和机器学习这几个互不相关的领域协同起来，为系统生物学和分子网络领域未来的研究方法提供参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Molecular causality in the advent of foundation models

Correlation is not causation. As simple as this widely agreed-upon statement may seem, scientifically defining causality and using it to drive our modern biomedical research is immensely challenging. In this perspective, we attempt to synergise the partly disparate fields of systems biology, causal reasoning, and machine learning, to inform future approaches in the field of systems biology and molecular networks.

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arXiv - QuanBio - Molecular Networks

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