Description Author(s) References
SPsimSeq uses a specially designed exponential family for density estimation to constructs the distribution of gene expression levels from a given real RNA sequencing data (single-cell or bulk), and subsequently, simulates a new dataset from the estimated marginal distributions using Gaussian-copulas to retain the dependence between genes. It allows simulation of multiple groups and batches with any required sample size and library size.
Alemu Takele Assefa alemutak@hotmail.com
Stijn Hawinkel stijnhawinkel@hotmail.com
Alemu Takele Assefa, Jo Vandesompele, Olivier Thas. (2020). SPsimSeq: semi-parametric simulation of bulk and single cell RNA sequencing data, Bioinformatics, , btaa105, https://doi.org/10.1093/bioinformatics/btaa105
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