technical replicates

[abusjahn]

Your example file ct1.csv contains 12 measurements, I assume these to be biological replicates / distinct samples? The data I have to work with now typically have 3 technical replicates per biological sample, which adds another layer for summarizing and error propagation. Just averaging technical replicates and feed means would ignore that source of variability. How would this be handled in your package? Grateful for clarification!

[MahShaaban]

Hi @abusjahn Thanks for reaching out. pcr do not handle technical replicates at the moment. As you mentioned, most people collapse the technical replicates and work with the averages. I would be open to ideas as to how to address this in future versions. Thanks

[lmanchon]

one way first is to remove bad Ct from technical replicates, to do this i use Dixon Q test to check which Ct is the best outlier