Technique to measure the expression dynamics of each gene in a single cell

Allon M. Klein ()

Nature, 2018, vol. 560, issue 7719, 434-435

Abstract: A method has been developed to infer whether the expression of each gene in a single cell is increasing or decreasing, and at what rate, using RNA-sequencing data. This tool has many potential applications.

Keywords: Computational biology and bioinformatics; Developmental biology; Transcriptomics (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1038/d41586-018-05882-8

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