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Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery
Causal discovery of genome-scale networks is important for identifying pathways from genes to observable traits –e.g. differences in cell function, disease, drug resistance and others. Causal learners based on graphical models rely on interventional samples to orient edges in the network. However, t...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cornell University
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104184/ https://www.ncbi.nlm.nih.gov/pubmed/37064526 |