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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 system...

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Bibliographische Detailangaben
Hauptverfasser: Lobentanzer, Sebastian (VerfasserIn) , Rodriguez Mier, Pablo (VerfasserIn) , Bauer, Stefan (VerfasserIn) , Sáez Rodríguez, Julio (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: August 2024
In: Molecular systems biology
Year: 2024, Jahrgang: 20, Heft: 8, Pages: 848-858
ISSN:1744-4292
DOI:10.1038/s44320-024-00041-w
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s44320-024-00041-w
Verlag, kostenfrei, Volltext: https://www.embopress.org/doi/full/10.1038/s44320-024-00041-w
Volltext
Verfasserangaben:Sebastian Lobentanzer, Pablo Rodriguez-Mier, Stefan Bauer & Julio Saez-Rodriguez
Beschreibung
Zusammenfassung: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.
Beschreibung:Online veröffentlicht: 18. Juni 2024
Gesehen am 19.11.2024
Beschreibung:Online Resource
ISSN:1744-4292
DOI:10.1038/s44320-024-00041-w

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