CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets
Abstract Methylation datasets are affected by innumerable sources of variability, both biological (cell-type composition, genetics) and technical (batch effects). Here, we propose a reference-free method based on sparse canonical correlation analysis to separate the biological from technical sources...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-07-01
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| Series: | Genome Biology |
| Online Access: | http://link.springer.com/article/10.1186/s13059-019-1743-y |