Open AccessSPsimSeq: semi-parametric simulation of bulk and single-cell RNA-sequencing data
Author(s) -
Alemu Takele Assefa,
Jo Vandesompele,
Olivier Thas
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa105
Subject(s) - computer science , parametric statistics , documentation , r package , data mining , range (aeronautics) , confounding , computational biology , statistics , biology , mathematics , computational science , engineering , operating system , aerospace engineering
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.