SPsimSeq simulates datasets from estimated marginal distributions with Gaussian-copulas. Long Description (required)
SPsimSeq uses an exponential family for density estimation to construct distributions of gene expression levels from RNA sequencing data, thereby simulating a new dataset from marginal distributions with Gaussian-copulas in order to retain the dependence between genes. It also allows for the simulation of multiple groups and batches with any required sample size and library size. https://github.com/CenterForStatistics-UGent/SPsimSeq u241918@bcm.edu
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Summary of Proposed Changes Current Citations/Applications
[Pubmed ID: 32065619 ],
Assefa AT, Vandesompele J, Thas O ,
SPsimSeq: semi-parametric simulation of bulk and single-cell RNA-sequencing data. ,
Bioinformatics ,
05-01-2020 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=32065619, Primary Citation
[Pubmed ID: 32306892 ],
Takele Assefa A, Vandesompele J, Thas O ,
On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments. ,
BMC Genomics ,
04-19-2020 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=32306892, , Application
[Pubmed ID: 36991470 ],
Crowell HL, Morillo Leonardo SX, Soneson C, Robinson MD ,
The shaky foundations of simulating single-cell RNA sequencing data. ,
Genome Biol ,
03-29-2023 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=36991470, , Application