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Adaptive sparse multiple canonical correlation analysis with application to imaging (epi)genomics study of schizophrenia
Finding correlations across multiple data sets in imaging and (epi)genomics is a common challenge. Sparse multiple canonical correlation analysis (SMCCA) is a multivariate model widely used to extract contributing features from each data while maximizing the cross-modality correlation. The model is...
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| Gepubliceerd in: | IEEE Trans Biomed Eng |
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| Hoofdauteurs: | , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5826588/ https://ncbi.nlm.nih.gov/pubmed/29364120 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2017.2771483 |
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