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Sparse Canonical Correlation Analysis via Truncated ℓ(1)-norm with Application to Brain Imaging Genetics
Discovering bi-multivariate associations between genetic markers and neuroimaging quantitative traits is a major task in brain imaging genetics. Sparse Canonical Correlation Analysis (SCCA) is a popular technique in this area for its powerful capability in identifying bi-multivariate relationships c...
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| Опубликовано в: : | Proceedings (IEEE Int Conf Bioinformatics Biomed) |
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| Главные авторы: | , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5627624/ https://ncbi.nlm.nih.gov/pubmed/28989812 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/BIBM.2016.7822605 |
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