Description Usage Arguments Value Examples
Statistical analysis of alternative splcing events
1 2 | EventPointer(Design, Contrast, ExFit, Eventstxt, Filter = TRUE,
Qn = 0.25, Statistic = "LogFC", PSI = FALSE)
|
Design |
The design matrix for the experiment. |
Contrast |
The contrast matrix for the experiment. |
ExFit |
aroma.affymetrix pre-processed variable after using
|
Eventstxt |
Path to the EventsFound.txt file generated by CDFfromGTF function. |
Filter |
Boolean variable to indicate if an expression filter is applied |
Qn |
Quantile used to filter the events (Bounded between 0-1, Q1 would be 0.25). |
Statistic |
Statistical test to identify differential splicing events, must be one of : LogFC, Dif_LogFC or DRS. |
PSI |
Boolean variable to indicate if Delta PSI should be calculated for every splicing event. |
Data.frame ordered by the splicing p.value . The object contains the different information for each splicing event such as Gene name, event type, genomic position, p.value, z.value and delta PSI.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | data(ArraysData)
Dmatrix<-matrix(c(1,1,1,1,0,0,1,1),nrow=4,ncol=2,byrow=FALSE)
Cmatrix<-t(t(c(0,1)))
EventsFound<-paste(system.file('extdata',package='EventPointer'),'/EventsFound.txt',sep='')
Events<-EventPointer(Design=Dmatrix,
Contrast=Cmatrix,
ExFit=ArraysData,
Eventstxt=EventsFound,
Filter=TRUE,
Qn=0.25,
Statistic='LogFC',
PSI=TRUE)
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