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Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data
BACKGROUND: Advance in high-throughput technologies in genomics, transcriptomics, and metabolomics has created demand for bioinformatics tools to integrate high-dimensional data from different sources. Canonical correlation analysis (CCA) is a statistical tool for finding linear associations between...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5310015/ https://ncbi.nlm.nih.gov/pubmed/28196464 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1543-x |
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