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eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research

Until date, several machine learning approaches have been proposed for the dynamic modeling of temporal omics data. Although they have yielded impressive results in terms of model accuracy and predictive ability, most of these applications are based on “Black-box” algorithms and more interpretable m...

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Detalhes bibliográficos
Publicado no:PLoS Comput Biol
Main Authors: Anguita-Ruiz, Augusto, Segura-Delgado, Alberto, Alcalá, Rafael, Aguilera, Concepción M., Alcalá-Fdez, Jesús
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7176286/
https://ncbi.nlm.nih.gov/pubmed/32275707
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007792
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