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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| Main Authors: | , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
August 2024
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| In: |
Molecular systems biology
Year: 2024, Volume: 20, Issue: 8, Pages: 848-858 |
| ISSN: | 1744-4292 |
| DOI: | 10.1038/s44320-024-00041-w |
| Online Access: | 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 
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| Author Notes: | Sebastian Lobentanzer, Pablo Rodriguez-Mier, Stefan Bauer & Julio Saez-Rodriguez |
| Summary: | 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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| Item Description: | Online veröffentlicht: 18. Juni 2024 Gesehen am 19.11.2024 |
| Physical Description: | Online Resource |
| ISSN: | 1744-4292 |
| DOI: | 10.1038/s44320-024-00041-w |