historicalData: Some existing RNA-seq and gene expression microarray data
In haowulab/PROPER: PROspective Power Evaluation for RNAseq

These are several datasets distributed with the package. They are simulation parameters estimated from existing RNA-seq data. The original raw count data were obtained from reCount website.

data(cheung)
data(gilad)
data(bottomly)
data(maqc)
data(GE.human)
data(pbmc)

The data include:

cheung: parameters from Cheung data. They are measurements from unrelated individuals, so the dispersions are large.
gilad: parameters from Gilad data. They are for Human liver sample comparisons between male and female. This dataset has moderate dispersions.
bottomly: parameters from Bottomly data. They compare two strains of inbred mice and the within group dispersions are small.
maqc: MAQC data which are technical replicates. There are no biological variation from the replicates, so the dispersions are close to 0.
GE.human: a vector of aggregated counts from all samples in Cheung data. This is used for generating marginal expression distribution when provide sequnencing depth.
pbmc: data from gene expression microarray data. This is for an example of using historical data to estimate effect sizes.