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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...

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Detalles Bibliográficos
Autores principales: Mignone, Paolo, Pio, Gianvito, Džeroski, Sašo, Ceci, Michelangelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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