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Functional Mixed Effects Models for Candidate Genetic Mapping in Imaging Genetic Studies
The aim of this paper is to develop a functional mixed effects modeling (FMEM) framework for the joint analysis of high-dimensional imaging data in a large number of locations (called voxels) of a three-dimensional volume with a set of genetic markers and clinical covariates. Our FMEM is extremely u...
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| Pubblicato in: | Genet Epidemiol |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2014
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4236266/ https://ncbi.nlm.nih.gov/pubmed/25270690 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/gepi.21854 |
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