Correlating Technical Replicates Part 8
Maybe I should have called this series “Troubleshooting”…
Anyways, I discussed my previously found “improved” technical replication at lab meeting where Steven mentioned that closer together means nothing without looking at axes. Whoops, forgot about that part. Since it’s more important to just look at the protein data, I made boxplots for each transition for all three levels of CV filtering (>20, >15, >10), removing technical replicates with large ordination distances (greater than 0.20). I made two sets of boxplots: using just sites, and using both sites and eelgrass condition.
CV > 20:
CV > 15:
CV > 10:
My biggest concern now is the fact that we selected individual transition data to remove for each technical replicate, as opposed to removing a transition completely from the analysis. So some transitions have a much larger dataset than others. How can I account for these irregularities moving forward? I’m assuming my next step is to also examine the boxplots and quantify how similar/different my median/mean values are (i.e. t-tests or ANOVAs).