Pseudotime analyses of single-cell RNA-seq data have become increasingly common. Typically, a latent trajectory corresponding to a biological process of interest – such as differentiation or cell cycle – is discovered. However, relatively little attention has been paid to modelling ...
Read More »Computational assignment of cell-cycle stage from single-cell transcriptome data
The transcriptome of single cells can reveal important information about cellular states and heterogeneity within populations of cells. Recently, single-cell RNA-sequencing has facilitated expression profiling of large numbers of single cells in parallel. To fully exploit these data, it is ...
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