I have a set of samples that I would like to run q2-sample-classifier on using both an ASV feature table and a feature table with RT-qPCR fold change data. I have run into an issue where many samples have no amplification, but feature tables can't use "NA", a blank space, or any other non-numeric value when running sample classifier.
I am hesitant to transform the data because it would need a starting value for these samples, which would rely on inputting the same value for all the samples that didn't amplify, indicating they all would have "amplified at the same cycle".
I look forward to any discussion and ideas!
Thanks in advance,