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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Detalles Bibliográficos
Autores principales: Buettner, Florian, Moignard, Victoria, Göttgens, Berthold, Theis, Fabian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Original Papers
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

Internet

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

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