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from looking at the source code, I am under the impression that data is always transformed to log2cpm when performing the correlation analyses in correlation.R even when log2cpm_transform = FALSE
I was using batchQC on microarray data and my data are already log transformed. Though subtle, the additional log transformation does affect the median pairwise correlations
using batchqc_corscatter - matches output from from batchQC(..., log2transfrom = FALSE)
modified batchqc_corscatter to not log2 CPM transform
The text was updated successfully, but these errors were encountered:
from looking at the source code, I am under the impression that data is always transformed to log2cpm when performing the correlation analyses in correlation.R even when log2cpm_transform = FALSE
I was using batchQC on microarray data and my data are already log transformed. Though subtle, the additional log transformation does affect the median pairwise correlations
using batchqc_corscatter - matches output from from batchQC(..., log2transfrom = FALSE)
modified batchqc_corscatter to not log2 CPM transform
The text was updated successfully, but these errors were encountered: