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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4071202/ https://www.ncbi.nlm.nih.gov/pubmed/24618470 http://dx.doi.org/10.1093/bioinformatics/btu134 |