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: Cold Spring Harbor Laboratory 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347276/
https://www.ncbi.nlm.nih.gov/pubmed/35923321
http://dx.doi.org/10.1101/2020.05.29.123497

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347276/
https://www.ncbi.nlm.nih.gov/pubmed/35923321
http://dx.doi.org/10.1101/2020.05.29.123497

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