Unknown

Dataset Information

0

SPsimSeq: semi-parametric simulation of bulk and single-cell RNA-sequencing data.


ABSTRACT: SUMMARY:SPsimSeq is a semi-parametric simulation method to generate bulk and single-cell RNA-sequencing data. It is designed to simulate gene expression data with maximal retention of the characteristics of real data. It is reasonably flexible to accommodate a wide range of experimental scenarios, including different sample sizes, biological signals (differential expression) and confounding batch effects. AVAILABILITY AND IMPLEMENTATION:The R package and associated documentation is available from https://github.com/CenterForStatistics-UGent/SPsimSeq. SUPPLEMENTARY INFORMATION:Supplementary data are available at Bioinformatics online.

SUBMITTER: Assefa AT 

PROVIDER: S-EPMC7214028 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

SPsimSeq: semi-parametric simulation of bulk and single-cell RNA-sequencing data.

Assefa Alemu Takele AT   Vandesompele Jo J   Thas Olivier O  

Bioinformatics (Oxford, England) 20200501 10


<h4>Summary</h4>SPsimSeq is a semi-parametric simulation method to generate bulk and single-cell RNA-sequencing data. It is designed to simulate gene expression data with maximal retention of the characteristics of real data. It is reasonably flexible to accommodate a wide range of experimental scenarios, including different sample sizes, biological signals (differential expression) and confounding batch effects.<h4>Availability and implementation</h4>The R package and associated documentation i  ...[more]

Similar Datasets

| S-EPMC5596896 | biostudies-literature
| S-EPMC6114100 | biostudies-other
| S-EPMC8617278 | biostudies-literature
| S-EPMC8766768 | biostudies-literature
| S-EPMC6501316 | biostudies-literature
| S-EPMC7820884 | biostudies-literature
| S-EPMC8016464 | biostudies-literature
| S-EPMC7560448 | biostudies-literature