normScatterPlot: Create MELON scatter plots

Description Usage Arguments Details Value Note Author(s) References See Also Examples

Description

Method to construct MELON scatter plots of normalized samples vs the reference sample

Usage

1
normScatterPlot(object, nres = 5, datatype = c("Count", "Continuous"), savedir = NULL, plotabline = T, tracefile = NULL)

Arguments

object

object of class MELON

nres

percentage, default value is 5%

datatype

scale of normalized data, either Count (log) or Continuous

savedir

the directory where to save the plots

plotabline

logical indicating whether bisector should be shown. Default is TRUE.

tracefile

a writable connection or a character string naming the file to write to, or NULL to stop sink-ing.

Details

A technical description of the algorithm and performance is given in the article 'Methylation Enriched LOci Normalization (MELON) for genome-wide DNA methylation experiments' (De Meyer et al. 2012).

Value

The method provides MELON scatter plots of normalized samples vs the reference sample. The sample names are embedded in the file names.

Note

##

Author(s)

Peter Pipelers <Peter.Pipelers@ugent.be>

References

De Meyer Tim, Pipelers Peter, Szarc vel Szic Katarzyna, Denil Simon, Trooskens Geert, Renard Jean-Pierre, De Keulenaer Sarah, Vanden Berghe Wim and Van Criekinge Wim (2012) Methylation Enriched LOci Normalization (MELON) for genome-wide DNA methylation experiments.

See Also

##

Examples

1
##

MELON documentation built on May 2, 2019, 6:21 p.m.

Related to normScatterPlot in MELON...