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Generalized integrative principal component analysis for multi-type data with block-wise missing structure
High-dimensional multi-source data are encountered in many fields. Despite recent developments on the integrative dimension reduction of such data, most existing methods cannot easily accommodate data of multiple types (e.g. binary or count-valued). Moreover, multi-source data often have block-wise...
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| Publicado no: | Biostatistics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7868054/ https://ncbi.nlm.nih.gov/pubmed/30247540 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxy052 |
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