degIntersection | R Documentation |
Intersection of differentially expressed genes
degIntersection(object, ...) ## S4 method for signature 'DESeqAnalysis' degIntersection( object, i = NULL, alphaThreshold = NULL, baseMeanThreshold = NULL, lfcThreshold = NULL, direction = c("up", "down"), return = c("matrix", "count", "ratio", "names") ) ## S4 method for signature 'DESeqAnalysisList' degIntersection( object, i = NULL, alphaThreshold = NULL, baseMeanThreshold = NULL, lfcThreshold = NULL, direction = c("up", "down"), return = c("matrix", "count", "ratio", "names") ) ## S4 method for signature 'DESeqResultsList' degIntersection( object, direction = c("up", "down"), alphaThreshold = NULL, baseMeanThreshold = NULL, lfcThreshold = NULL, return = c("matrix", "count", "ratio", "names") )
object |
Object. |
i |
|
alphaThreshold |
|
baseMeanThreshold |
|
lfcThreshold |
|
direction |
|
return |
|
... |
Passthrough arguments to |
integer
.
Integer denoting the number of intersections, sorted from highest to
lowest. Gene identifiers are defined as the names.
Updated 2022-05-17.
data(deseq) ## DESeqAnalysis ==== mat <- degIntersection(deseq, return = "matrix") class(mat) type(mat) head(mat) count <- degIntersection(deseq, return = "count") class(count) head(count) ratio <- degIntersection(deseq, return = "ratio") class(ratio) head(ratio) names <- degIntersection(deseq, i = c(1L, 2L), return = "names") class(names) head(names) ## DESeqAnalysisList ==== object <- DESeqAnalysisList(list("object1" = deseq, "object2" = deseq)) print(object)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.