• Corpus ID: 248987141

Single-cell gene regulatory network analysis for mixed cell populations with applications to COVID-19 single cell data (preprint)

@inproceedings{Tang2022SinglecellGR,
  title={Single-cell gene regulatory network analysis for mixed cell populations with applications to COVID-19 single cell data (preprint)},
  author={Junjie Tang and Changhu Wang and Fei Xiao and Ruibin Xi},
  year={2022}
}
Gene regulatory network (GRN) refers to the complex network formed by regulatory interactions between genes in living cells. In this paper, we consider inferring GRNs in single cells based on single cell RNA sequencing (scRNA-seq) data. In scRNA-seq, single cells are often profiled from mixed populations and their cell identities are unknown. A common practice for single cell GRN analysis is to first cluster the cells and infer GRNs for every cluster separately. However, this two-step procedure… 

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