dyngen
A simulation engine for dynamic models of single-cell transcriptomics data.
Description:
Dyngen is a novel, 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 novel computational methods.
More Information:
Originates from the AI-Driven Data Science research challenge (FAIR 2019–2023).
Responsible Research Lead: Yvan Saeys
Authors: Robrecht Cannoodt, Louise Deconinck, Wouter Saelens, Yvan Saeys
Programming Language: R
Categories: Single cell and DNA sequence analysis, networks and graphs, un/semi-supervised learning
Publications:
R. Cannoodt, W. Saelens, L. Deconinck and Y. Saeys, "Spearheading future omics analyses using dyngen, a multi-modal simulator of single cells", Nat Commun 12, 3942 (2021).