Integrating multimodal data through interpretable heterogeneous ensembles

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MOTIVATION: Integrating multimodal data represents an effective approach to predicting biomedical characteristics, such as protein functions and disease outcomes. However, existing data integration approaches do not sufficiently address the heterogeneous semantics of multimodal data. In particular,...

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Detalles Bibliográficos
Autores principales: Li, Yan Chak, Wang, Linhua, Law, Jeffrey N, Murali, T M, Pandey, Gaurav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495448/
https://www.ncbi.nlm.nih.gov/pubmed/36158455
http://dx.doi.org/10.1093/bioadv/vbac065

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