normFactors slot holds the normalization factors as a
named vector with sample names.
1 2 3 4 5
A numeric vector, one size factor for each sample in the coverage data.
normFactors vector assigns to each sample coverage a value,
the normalization factor, such that count values in each sample coverage
can be brought to a common scale by dividing by the corresponding
normalization factor. This step is also called normalization, its purpose
is to render coverages (counts) from different samples, which may have
been sequenced to different depths, comparable. Normalization factors
are estimated using the median ratio method described by
Equation 5 in Anders and Huber (2010). Alternative normalization factor
estimators can also be supplied using the assignment function
The normalization factors, in a list.
Simon Anders, and Wolfgang Huber (2010). Differential expression analysis for sequence count data. Genome Biology, 11:106.
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