Abstract
We present SERGIO, a software tool that can simulate realistic single-cell transcriptomics datasets based on a user-specified gene regulatory network (GRN). Datasets simulated using SERGIO can be used to benchmark a variety of single-cell analysis tools, especially GRN inference methods.
Original language | English (US) |
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Pages (from-to) | 252-271.e11 |
Journal | Cell Systems |
Volume | 11 |
Issue number | 3 |
DOIs | |
State | Published - Sep 23 2020 |
Keywords
- RNA velocity
- benchmarking single-cell analysis tools
- differentiation trajectories
- gene regulatory networks
- simulations
- single-cell RNA-seq
ASJC Scopus subject areas
- Pathology and Forensic Medicine
- Histology
- Cell Biology