Description Usage Arguments Value Examples
This function allows you to associate DNA methylation with matched mRNA expression. There are three methods to choose from: 'Adjusted' in which one can adjust for race, 'Interaction' in which one can enforce a weak hierarchy and include race interaction terms, and 'Specific' in which one can associate in a race-specific manner.
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Object |
an object of class Summarized Experiment containing paired DNA methylation, RNA seq, and Clinical data. |
method |
method for multivariate associations |
dist |
the distance from the TSS & TES in Kb. Defaults to 1,000,000Kb |
nfolds |
the number of folds to use for cross-validation |
impute |
Whether or not to impute the data. Defaults to TRUE |
beta |
Whether methylation matrix is beta-values, defaults to TRUE |
parallel |
whether to run in parallel. Defaults to FALSE |
Methylation.Annotation |
A Granges object annotating the methylation array used |
Gene.Annotation |
A GRanges object containing gene annotation. |
Large list with up to 5 columns
1 2 3 4 5 6 7 8 9 10 11 12 | data('Testdat',package = 'EpiXprS')
Methy <- assays(Testdat)$Methyl450k
Methy[1:5,1:5]
Counts <- assays(Testdat)$RNASeqGene
Counts[1:2,1:5]
coldat <- colData(Testdat)
coldat$race <- ifelse(coldat$race == 'white',1,0)
head(coldat)
Construct(x = Methy, y = Counts, clinical = coldat$race,
method ='Interaction', dist = NULL, nfolds = NULL,
impute = TRUE, beta = TRUE, parallel = FALSE,
Methylation.Annotation = annotation_450k, Gene.Annotation = annotated_RNA)
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