I've been recently trying to use R for the analysis of flow cytometry data from yeast cells. I've got a simple pipeline running, but the automated singlet detection doesn't always work. In a FlowSet with dozens of experiments, gate_singlet will correctly identify the singlet population in most of them, but it will be completely wrong for some of them. I can improve the singlet gating for these experiment by being more stringent in initial data cleanup, but then I lose a significant portion of singlets in other experiments that didn't need improvement in the first place.
Any help/advice for automated gating (especially singlet) of this kind of data?
Hi there,
I've been recently trying to use R for the analysis of flow cytometry data from yeast cells. I've got a simple pipeline running, but the automated singlet detection doesn't always work. In a FlowSet with dozens of experiments, gate_singlet will correctly identify the singlet population in most of them, but it will be completely wrong for some of them. I can improve the singlet gating for these experiment by being more stringent in initial data cleanup, but then I lose a significant portion of singlets in other experiments that didn't need improvement in the first place.
Any help/advice for automated gating (especially singlet) of this kind of data?
Many thanks!
FACS_DATA.zip .