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Evaluation of non-negative matrix factorization of grey matter in age prediction
The relationship between grey matter volume (GMV) patterns and age can be captured by multivariate pattern analysis, allowing prediction of individuals’ age based on structural imaging. Raw data, voxel-wise GMV and non-sparse factorization (with Principal Component Analysis, PCA) show good performan...
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| Yayımlandı: | Neuroimage |
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| Asıl Yazarlar: | , , , , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2018
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5911196/ https://ncbi.nlm.nih.gov/pubmed/29518572 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2018.03.007 |
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