Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses.
I am interested in our package and play around with our single cell data. We subset two conditions and one cluster to check the DEG power. I follow our vignette. All the steps work fine, but I ran the following error on simulateDE() step. Can you help me?
Preparing output arrays.
SIMULATION NUMBER 1
Generating gene expression.
500 vs. 500
Applying scran normalisation
Using calculateSumFactors, i.e. deconvolution over all cells!
Error: BiocParallel errors
element index: 1
first error: missing value where TRUE/FALSE needed
In addition: There were 50 or more warnings (use warnings() to see the first 50)
Hi powsimR team,
I am interested in our package and play around with our single cell data. We subset two conditions and one cluster to check the DEG power. I follow our vignette. All the steps work fine, but I ran the following error on simulateDE() step. Can you help me?
Thanks, Yale