Description Usage Arguments Details Value Note Author(s) References See Also Examples
Function to create a normalized MELON
object for DNA methylation experimental data
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object |
raw data, either a dataframe or a matrix |
method |
indicating the selected criterion to determine the optimal number of used heavily methylated loci. Current implementations foresee |
regrwindow |
local regression window, parameter needed for method |
minC |
minimum number of stable loci needed in the algorithm. The default is 50. |
manC |
number of stable loci desired for the algorithm. The default is the number of loci in the full dataset. |
maxL |
maximal number of considered heavily methylated loci in the algorithm. The default value is 20000. |
refsample |
index of sample identified as reference sample. If missing, the sample with the largest amount of unique intensities is used as reference. |
doplot |
logical indicating whether a stability plot should be drawn. This figure plots the consistent methylation enrichment (CME) quantity against the most heavily methylated loci (L) and displays the finally selected L and corresponding CME. |
savedir |
the directory where to save the plot if |
savefile |
the filename for the plot if |
tracefile |
a writable connection or a character string naming the file to write to, or |
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).
An object of class MELON
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Peter Pipelers <Peter.Pipelers@ugent.be>
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.
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