mlda.sig {MLDA} | R Documentation |
This function is to identify the differentially methylated loci between two classes of samples.
mlda.sig(score.obj, dataset, loci.ID = NULL, pvalue = 0.01, filter = TRUE)
score.obj |
An object from score.cal() |
dataset |
A dataset object from mlda.data() |
loci.ID |
loci ID on DMH array |
pvalue |
p value for positive and negative outliers |
filter |
The low quality probes are excluded by default |
A list containing:
loci.up |
hypermethylated loci in class 2, sensitive and resistant scores |
loci.down |
hypomethylated loci in class 2, sensitive and resistnat scores |
pos.p |
p value for positive outlier |
neg.p |
p value for negative outlier |
Wei Dai w.dai@imperial.ac.uk
MLDA
Examples are included