param:
Some existing RNA-seq and gene expression microarray data
Description
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.
Usage
data(cheung)
data(gilad)
data(bottomly)
data(maqc)
data(GE.human)
data(pbmc)
Details
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.