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CONFINED: distinguishing biological from technical sources of variation by leveraging multiple methylation datasets
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 of varia...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6624895/ https://www.ncbi.nlm.nih.gov/pubmed/31300005 http://dx.doi.org/10.1186/s13059-019-1743-y |