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Group sparse reduced rank regression for neuroimaging genetic study
The neuroimaging genetic study usually needs to deal with high dimensionality of both brain imaging data and genetic data, so that often resulting in the issue of curse of dimensionality. In this paper, we propose a group sparse reduced rank regression model to take the relations of both the phenoty...
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| Pubblicato in: | World Wide Web |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6788769/ https://ncbi.nlm.nih.gov/pubmed/31607788 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11280-018-0637-3 |
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