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Article

Pseudotime estimation: deconfounding single cell time series

2015-05-21

Abstract excerpt

Cross-sectional time series single cell data confound several sources of variation, with contributions from measurement noise, stochastic cell to cell variation and cell progression at different rates. Time series from single cell assays are particularly susceptible to confounding as the measurements are not averaged over populations of cells. When several genes are assayed in parallel these effects can be estimat...

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Literature Corpus work
a88e2e3c-a423-5906-8b76-44f1040d3d4a
DOI
10.1101/019588
Open publication

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Pseudotime estimation: deconfounding single cell time seriesDOI 10.1101/019588
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