dispersion: Acessor functions for the 'dispersion' slot in a SeqCountData...
In DSS: Dispersion shrinkage for sequencing data

Description Usage Arguments Details Author(s) See Also Examples

Dispersion parameter for a gene represents its coefficient of variation of expressions. It characterizes the biological variations.

## S4 method for signature 'SeqCountSet'
dispersion(object)
## S4 replacement method for signature 'SeqCountSet,numeric'
dispersion(object) <- value

`object`	A SeqCountData object.
`value`	A numeric vector with the same length as number of genes.

If the counts from biological replicates are modeled as negative binomial distribution, the variance (v) and mean (m) should hold following relationship: v=m+m^2*phi, where phi is the dispersion. Another interpretation is that phi represents the biological variations among replicates when underlying expressions are modeled as a Gamma distribution.

Hao Wu <hao.wu@emory.edu>

normalizationFactor

data(seqData)
## obtain
seqData=estNormFactors(seqData, "quantile")
seqData=estDispersion(seqData)
dispersion(seqData)

## assign
dispersion(seqData)=rep(0.1, nrow(exprs(seqData)))