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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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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Mignone, Paolo, Pio, Gianvito, Džeroski, Sašo, Ceci, Michelangelo
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7749184/
https://ncbi.nlm.nih.gov/pubmed/33339842
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-78033-7
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