Multimodal subspace independent vector analysis captures latent subspace structures in large multimodal neuroimaging studies

We present Multimodal Subspace Independent Vector Analysis (MSIVA), a methodology to capture both joint and unique vector sources across multiple data modalities by defining linked and modality-specific subspaces. In particular, MSIVA enables the estimation of independent subspaces of various sizes...

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Detalles Bibliográficos
Autores principales: Li, Xinhui, Adali, Tulay, Silva, Rogers, Calhoun, Vince
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516023/
https://www.ncbi.nlm.nih.gov/pubmed/37745533
http://dx.doi.org/10.1101/2023.09.17.558092

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516023/
https://www.ncbi.nlm.nih.gov/pubmed/37745533
http://dx.doi.org/10.1101/2023.09.17.558092

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