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Large-scale causal discovery using interventional data sheds light on the regulatory network architecture of blood traits
Inference of directed biological networks is an important but notoriously challenging problem. We introduce inverse sparse regression (inspre), an approach to learning causal networks that leverages large-scale intervention-response data. Applied to 788 genes from the genome-wide perturb-seq dataset...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614812/ https://www.ncbi.nlm.nih.gov/pubmed/37905013 http://dx.doi.org/10.1101/2023.10.13.562293 |