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SINCERITIES: Inferring gene regulatory networks from time-stamped single cell transcriptional expression profiles

2016-11-23

Abstract excerpt

Recent advances in single cell transcriptional profiling open up a new avenue in studying the functional role of cell-to-cell variability in physiological processes such as stem cell differentiation. In this work, we developed a novel algorithm called SINCERITIES (SINgle CEll Regularized Inference using TIme-stamped Expression profileS), for the inference of gene regulatory networks (GRNs) from single cell transcr...

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Literature Corpus work
ef9a99c3-026b-5c2e-880d-47c6cae5e8b9
DOI
10.1101/089110
Open publication

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SINCERITIES: Inferring gene regulatory networks from time-stamped single cell transcriptional expression profilesDOI 10.1101/089110
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