computeZscores | R Documentation |
Computes the z scores for every count in the matrix.
The z score is defined in the log_2
space as follows:
z_{ij} = \frac{l_{ij} - \mu_j^l}{
\sigma_j^l}
where l
is the log_2
transformed normalized count and
\mu
and \sigma
the mean and standard deviation
for gene j
and sample i
, respectively.
computeZscores(ods, ...)
## S4 method for signature 'OutriderDataSet'
computeZscores(ods, peerResiduals = FALSE, ...)
ods |
OutriderDataSet |
... |
Further arguments passed on to |
peerResiduals |
If TRUE, PEER residuals are used to compute Z scores |
An OutriderDataSet containing the Z score matrix "zScore" and the log2 fold changes "l2fc" as asasys.
ods <- makeExampleOutriderDataSet()
ods <- estimateSizeFactors(ods)
ods <- controlForConfounders(ods, implementation="pca")
ods <- computeZscores(ods)
zScore(ods)[1:10,1:10]
assay(ods, "l2fc")[1:10,1:10]
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