Molecular causality in the advent of foundation models
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866914643980582912 |
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| author | Lobentanzer, Sebastian Rodriguez-Mier, Pablo Bauer, Stefan Saez-Rodriguez, Julio |
| author_facet | Lobentanzer, Sebastian Rodriguez-Mier, Pablo Bauer, Stefan Saez-Rodriguez, Julio |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_09558 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Molecular causality in the advent of foundation models Lobentanzer, Sebastian Rodriguez-Mier, Pablo Bauer, Stefan Saez-Rodriguez, Julio Molecular Networks 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. |
| title | Molecular causality in the advent of foundation models |
| topic | Molecular Networks |
| url | https://arxiv.org/abs/2401.09558 |