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Molecular causality in the advent of foundation models.
Mol. Syst. Biol., DOI: 10.1038/s44320-024-00041-w (2024)
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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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Review
Schlagwörter
Causality ; Foundation Models ; Inductive Bias ; Latent Spaces ; Systems Biology; Signaling Pathway; Vemurafenib; Statistics; Biology
ISSN (print) / ISBN
1744-4292
e-ISSN
1744-4292
Zeitschrift
Molecular Systems Biology
Verlag
EMBO Press
Verlagsort
Campus, 4 Crinan St, London, N1 9xw, England
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed
Förderungen
Heidelberg University
European Union
European Union