SERGIO: A Single-Cell Expression Simulator Guided by Gene Regulatory Networks

Payam Dibaeinia, Saurabh Sinha

Research output: Contribution to journalArticlepeer-review

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 languageEnglish (US)
Pages (from-to)252-271.e11
JournalCell Systems
Volume11
Issue number3
DOIs
StatePublished - 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

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