how can I find significant genes from microarray with no replicate
Hi,
I have a representative data like the following. the first column is control and second is treated. I just want to find which genes are significantly different than the rest (I know it does not make lost of sense statsistically but here is a data I have) so I have been strugeling to find a method (one says one sample test, one say permutation test , etc etc ) . I selected to go with edgeR
df<- structure(list(col1A = c(1.64, 0.03, 0, 4.202, 2.981, 0.055,
0, 0.002, 0.005, 0, 0.002, 0.649, 2.55, 2.762, 6.402, 0.91, 0.037,
0, 5.757, 3.916, 0.022, 0, 0, 0.003, 0, 0.262, 0.136, 2.874,
3.466
"nagdd", "hdydy"), class = "data.frame")
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