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Multi-task learning for the simultaneous reconstruction of the human and mouse gene regulatory networks
The reconstruction of Gene Regulatory Networks (GRNs) from gene expression data, supported by machine learning approaches, has received increasing attention in recent years. The task at hand is to identify regulatory links between genes in a network. However, existing methods often suffer when the n...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749184/ https://www.ncbi.nlm.nih.gov/pubmed/33339842 http://dx.doi.org/10.1038/s41598-020-78033-7 |