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.
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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.
Hao Wu <firstname.lastname@example.org>
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