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Inferring structural and dynamical properties of gene networks from data with deep learning
The reconstruction of gene regulatory networks (GRNs) from data is vital in systems biology. Although different approaches have been proposed to infer causality from data, some challenges remain, such as how to accurately infer the direction and type of interactions, how to deal with complex network...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469930/ https://www.ncbi.nlm.nih.gov/pubmed/36110897 http://dx.doi.org/10.1093/nargab/lqac068 |