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Probabilistic PCA of censored data: accounting for uncertainties in the visualization of high-throughput single-cell qPCR data
Motivation: High-throughput single-cell quantitative real-time polymerase chain reaction (qPCR) is a promising technique allowing for new insights in complex cellular processes. However, the PCR reaction can be detected only up to a certain detection limit, whereas failed reactions could be due to l...
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| Main Authors: | , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Oxford University Press
2014
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4071202/ https://ncbi.nlm.nih.gov/pubmed/24618470 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu134 |
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