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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.
Package details |
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Author | Alemu Takele Assefa [aut], Olivier Thas [ths], Joris Meys [cre], Stijn Hawinkel [aut] |
Bioconductor views | DNASeq GeneExpression RNASeq Sequencing SingleCell |
Maintainer | Joris Meys <Joris.Meys@ugent.be> |
License | GPL-2 |
Version | 1.0.0 |
URL | https://github.com/CenterForStatistics-UGent/SPsimSeq |
Package repository | View on Bioconductor |
Installation |
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