You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I have a NanoString expression set with batch effects detected by RLE and PCA plot. I used RUVSeq to remove batch effects. The codes are as follows:
set <- newSeqExpressionSet(as.matrix(round(raw)), phenoData = pData, featureData = fData)
cIdx <- rownames(set)[fData(set)$Class == "Housekeeping"]
set <- betweenLaneNormalization(set, which = "upper")
set <- RUVg(set, cIdx, k = 1)
I found set contains a dataset which could be extracted by set@assayData[["normalizedCounts"]]. Is it a dataset without batch effects?
According to the protocol of GSVA package, the input of gsva() should be a normalized gene expression dataset. Could the dataset in set be used for GSVA directly? If not, could you please tell me how can I get the normalized dataset for GSVA?
Thank you!
The text was updated successfully, but these errors were encountered:
Hi!
I have a NanoString expression set with batch effects detected by RLE and PCA plot. I used
RUVSeq
to remove batch effects. The codes are as follows:I found
set
contains a dataset which could be extracted byset@assayData[["normalizedCounts"]]
. Is it a dataset without batch effects?According to the protocol of
GSVA
package, the input ofgsva()
should be a normalized gene expression dataset. Could the dataset inset
be used for GSVA directly? If not, could you please tell me how can I get the normalized dataset for GSVA?Thank you!
The text was updated successfully, but these errors were encountered: