graphsim: An R package for simulating gene expression data from graph structures of biological pathways

@article{Kelly2020graphsimAR,
  title={graphsim: An R package for simulating gene expression data from graph structures of biological pathways},
  author={S. Thomas Kelly and Michael A. Black},
  journal={bioRxiv},
  year={2020}
}
Transcriptomic analysis is used to capture the molecular state of a cell or sample in many biological and medical applications. In addition to identifying alterations in activity at the level of individual genes, understanding changes in the gene networks that regulate fundamental biological mechanisms is also an important objective of molecular analysis. As a result, databases that describe biological pathways are increasingly uesad to assist with the interpretation of results from large-scale… 
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