Pseudotime analysis for time-series single-cell sequencing and imaging data
Gang Li,
Hyeon-Jin Kim,
Sriram Pendyala
et al.
Abstract:Many single-cell RNA-sequencing studies have collected time-series data to investigate transcriptional changes with respect to various notions of biological time, such as cell differentiation, embryonic development, and response to stimulus. Accordingly, several unsupervised and supervised computational methods have been developed to construct single-cell pseudotime embeddings for extracting the temporal order of transcriptional cell states from these time-series scRNA-seq datasets. However, existing methods, … Show more
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