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Lobentanzer, S.* ; Rodriguez-Mier, P.* ; Bauer, S. ; Saez-Rodriguez, J.*

Molecular causality in the advent of foundation models.

Mol. Syst. Biol., DOI: 10.1038/s44320-024-00041-w (2024)
DOI PMC
Creative Commons Lizenzvertrag
Open Access Gold as soon as Publ. Version/Full Text is submitted to ZB.
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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Publication type Article: Journal article
Document type Review
Corresponding Author
Keywords Causality ; Foundation Models ; Inductive Bias ; Latent Spaces ; Systems Biology; Signaling Pathway; Vemurafenib; Statistics; Biology
ISSN (print) / ISBN 1744-4292
e-ISSN 1744-4292
Journal Molecular Systems Biology
Publisher EMBO Press
Publishing Place Campus, 4 Crinan St, London, N1 9xw, England
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Helmholtz Artifical Intelligence Cooperation Unit (HAICU)
Grants Heidelberg University
European Union