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Inference of gene regulatory networks using time-series single-cell RNA-seq data with CRISPR perturbations

2023-08-23

Abstract excerpt

Single-cell RNA-seq analysis coupled with CRISPR-based perturbation (scCRISPR) has enabled the inference of gene regulatory networks (GRNs) with causal relationships. However, a snapshot of scCRISPR data may not lead to an accurate inference, since a gene knockout can influence multi-layered downstream over time. Here, we developed RENGE, a new computational method that infers GRNs using a time-series scCRISPR dat...

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Literature Corpus work
d4300fb0-02fc-54f5-857a-3a958c70a8d4
DOI
10.1101/2023.08.23.554254
Open publication

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Inference of gene regulatory networks using time-series single-cell RNA-seq data with CRISPR perturbationsDOI 10.1101/2023.08.23.554254
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