A whitening approach to probabilistic canonical correlation analysis for omics data integration
Abstract Background Canonical correlation analysis (CCA) is a classic statistical tool for investigating complex multivariate data. Correspondingly, it has found many diverse applications, ranging from molecular biology and medicine to social science and finance. Intriguingly, despite the importance...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-01-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12859-018-2572-9 |