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Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia
The extraction of common and distinct biomedical signatures among different populations allows for a more detailed study of the group-specific as well as distinct information of different populations. A number of subspace analysis algorithms have been developed and successfully applied to data fusio...
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| Publié dans: | Neuroimage |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7319052/ https://ncbi.nlm.nih.gov/pubmed/32353485 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2020.116872 |
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