Revealing dynamics of gene expression variability in cell state space.
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ABSTRACT:
SUBMITTER: Grun D
PROVIDER: S-EPMC6949127 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature
Publications
Revealing dynamics of gene expression variability in cell state space.
Nature methods 20191118 1
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 var ...[more]
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