Revealing dynamics of gene expression variability in cell state space

Gruen D (2020)

Publication Type: Journal article

Publication year: 2020

Journal

Nature Methods Nature Publishing Group

Book Volume: 17

Pages Range: 45-49

Journal Issue: 1

DOI: 10.1038/s41592-019-0632-3

Abstract

To decipher cell state transitions from single-cell transcriptomes it is crucial to quantify weak expression of lineage-determining factors, which requires computational methods that are sensitive to the variability of weakly expressed genes. Here, I introduce VarID, a computational method that identifies locally homogenous neighborhoods in cell state space, permitting the quantification of local variability in gene expression. VarID delineates neighborhoods with differential gene expression variability and reveals pseudo-temporal dynamics of variability during differentiation.

Involved external institutions

Max-Planck-Institut für Immunbiologie und Epigenetik (MPI-IE) / Max Planck Institute of Immunobiology and Epigenetics DE Germany (DE)

How to cite

APA:

Gruen, D. (2020). Revealing dynamics of gene expression variability in cell state space. Nature Methods, 17(1), 45-49. https://doi.org/10.1038/s41592-019-0632-3

MLA:

Gruen, Dominic. "Revealing dynamics of gene expression variability in cell state space." Nature Methods 17.1 (2020): 45-49.

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