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Spearheading future omics analyses using dyngen, a multi-modal simulator of single cells

Robrecht Cannoodt, Wouter Saelens, Louise Deconinck, Yvan Saeys

2021Nature Communications127 citationsDOIOpen Access PDF

Abstract

We present dyngen, a multi-modal simulation engine for studying dynamic cellular processes at single-cell resolution. dyngen is more flexible than current single-cell simulation engines, and allows better method development and benchmarking, thereby stimulating development and testing of computational methods. We demonstrate its potential for spearheading computational methods on three applications: aligning cell developmental trajectories, cell-specific regulatory network inference and estimation of RNA velocity.

Topics & Concepts

BenchmarkingComputer scienceModalInferenceArtificial intelligenceChemistryBusinessPolymer chemistryMarketingSingle-cell and spatial transcriptomicsGene Regulatory Network AnalysisRNA Research and Splicing
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