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Abstract Single-cell transcriptomics allows researchers to investigate complex communities of heterogeneous cells. These methods can be applied to stem cells and their descendants in order to chart the progression from multipotent progenitors to fully differentiated cells. While a number of statistical and computational methods have been proposed for analyzing cell lineages, the problem of accurately characterizing multiple branching lineages remains difficult to solve. Here, we introduce a novel method, Slingshot, for inferring multiple developmental lineages from single-cell gene expression data. Slingshot is a uniquely robust and flexible tool for inferring developmental lineages and ordering cells to reflect continuous, branching processes.
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Kelly Street
University of Southern California
Davide Risso
University of Padua
Russell B. Fletcher
University of Maryland, Baltimore
University of California, Berkeley
Cornell University
Weill Cornell Medicine
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Street et al. (Wed,) studied this question.
synapsesocial.com/papers/6a0ca2085712c53037e8bb4e — DOI: https://doi.org/10.1101/128843