estLocCor: Estimates the correlations of the z-scores

In BiSeq: Processing and analyzing bisulfite sequencing data

Description

For each location the correlation of this location's z-score to \bar{Z} of its CpG cluster is estimated.

Usage

estLocCor(vario.sm)

Arguments

vario.sm

Output of smoothVariogram.

Value

A list:

variogram	A variogram matrix, usually created by smoothVariogram beforehand.
pValsList	A list of the test results per CpG cluster.
sigma.cluster	The standard deviations of z-scores within each cluster.
Z.cluster	The arithmetic means of the z-scores for each cluster.
length.cluster	The widths (number of pase pairs) of each cluster.

Author(s)

Katja Hebestreit

References

Yoav Benjamini and Ruth Heller (2007): False Discovery Rates for Spatial Signals. American Statistical Association, 102 (480): 1272-81.

See Also

makeVariogram, smoothVariogram

Examples

data(betaResultsNull)

vario <- makeVariogram(betaResultsNull)
vario.sm <- smoothVariogram(vario, sill = 1)

locCor <- estLocCor(vario.sm)

BiSeq documentation built on Nov. 8, 2020, 8:05 p.m.