基础模型出现时的分子因果关系。

IF 8.5 1区生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Systems Biology Pub Date : 2024-08-01 Epub Date: 2024-06-18 DOI:10.1038/s44320-024-00041-w

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：这一简单而无争议的说法却有着深远的影响。在生物医学研究中定义和应用因果关系给科学界带来了巨大挑战。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联系起来，为系统生物学和分子医学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: this simple and uncontroversial statement has far-reaching implications. Defining and applying causality in biomedical research has posed significant challenges to the scientific community. In this perspective, we attempt to connect the partly disparate fields of systems biology, causal reasoning, and machine learning to inform future approaches in the field of systems biology and molecular medicine.

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来源期刊

Molecular Systems Biology 生物-生化与分子生物学

CiteScore

18.50

自引率

1.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Systems biology is a field that aims to understand complex biological systems by studying their components and how they interact. It is an integrative discipline that seeks to explain the properties and behavior of these systems. Molecular Systems Biology is a scholarly journal that publishes top-notch research in the areas of systems biology, synthetic biology, and systems medicine. It is an open access journal, meaning that its content is freely available to readers, and it is peer-reviewed to ensure the quality of the published work.