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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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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:PLoS Comput Biol
Prif Awduron: Anguita-Ruiz, Augusto, Segura-Delgado, Alberto, Alcalá, Rafael, Aguilera, Concepción M., Alcalá-Fdez, Jesús
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: Public Library of Science 2020
Pynciau:
Mynediad Ar-lein: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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