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Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies
To perform a joint analysis of multivariate neuroimaging phenotypes and candidate genetic markers obtained from longitudinal studies, we develop a Bayesian longitudinal low-rank regression (L2R2) model. The L2R2 model integrates three key methodologies: a low-rank matrix for approximating the high-d...
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| Veröffentlicht in: | Neuroimage |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5368019/ https://ncbi.nlm.nih.gov/pubmed/28143775 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2017.01.052 |
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