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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