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.
@article{arxiv.2401.09558,
title = {Molecular causality in the advent of foundation models},
author = {Sebastian Lobentanzer and Pablo Rodriguez-Mier and Stefan Bauer and Julio Saez-Rodriguez},
journal= {arXiv preprint arXiv:2401.09558},
year = {2024}
}
Comments
22 pages, 0 figures, 87 references; submitted to MSB