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Simultaneous dimension reduction and adjustment for confounding variation
Dimension reduction methods are commonly applied to high-throughput biological datasets. However, the results can be hindered by confounding factors, either biological or technical in origin. In this study, we extend principal component analysis (PCA) to propose AC-PCA for simultaneous dimension red...
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| Udgivet i: | Proc Natl Acad Sci U S A |
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| Main Authors: | , , , , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
National Academy of Sciences
2016
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5187682/ https://ncbi.nlm.nih.gov/pubmed/27930330 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1617317113 |
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