SPsimSeq：批量和单细胞 RNA-seq 数据的半参数模拟。
SPsimSeq: semi-parametric simulation of bulk and single-cell RNA-sequencing data.
机构信息
Data Analysis and Mathematical Modeling.
Biomolecular Medicine.
出版信息
Bioinformatics. 2020 May 1;36(10):3276-3278. doi: 10.1093/bioinformatics/btaa105.
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.
摘要
SPsimSeq 是一种半参数模拟方法，可用于生成批量和单细胞 RNA-seq 数据。它旨在通过最大程度地保留真实数据的特征来模拟基因表达数据。它具有相当的灵活性，可以适应广泛的实验场景，包括不同的样本量、生物信号（差异表达）和混杂的批次效应。
可用性和实现
R 包及相关文档可从 https://github.com/CenterForStatistics-UGent/SPsimSeq 获得。
补充信息
补充数据可在 Bioinformatics 在线获得。
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