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I'm having problems when trying to analyze multiplex immunohistochemistry data via Phenograph. The Phenograph analysis works fine with small sample sets (e.g. 10 images), but when I try the analysis with larger sample sets (e.g. 100 images), the first ~10 resulting clusters show a cross-shape with very high values when projected onto tSNE. These clusters also get an additional empty channel (named e.g. empty_channel_102) in the channel listing. In addition, the exported .csv-files show very high marker intensities. This problem is similar to the one reported in issue #91 (https://github.com/BodenmillerGroup/histoCAT/issues/91). I've tried to run the analysis via HistoCAT GUI and also directly in Matlab, but the result is the same. I would be grateful for any advice for solving this problem. Thank you!
The text was updated successfully, but these errors were encountered:
Just a follow-up: when I increased the number of neighbors from 75 to 100, the Phenograph analysis succeeds. Still don't know, what causes the original problem, though.
Hello,
I'm having problems when trying to analyze multiplex immunohistochemistry data via Phenograph. The Phenograph analysis works fine with small sample sets (e.g. 10 images), but when I try the analysis with larger sample sets (e.g. 100 images), the first ~10 resulting clusters show a cross-shape with very high values when projected onto tSNE. These clusters also get an additional empty channel (named e.g. empty_channel_102) in the channel listing. In addition, the exported .csv-files show very high marker intensities. This problem is similar to the one reported in issue #91 (https://github.com/BodenmillerGroup/histoCAT/issues/91). I've tried to run the analysis via HistoCAT GUI and also directly in Matlab, but the result is the same. I would be grateful for any advice for solving this problem. Thank you!
The text was updated successfully, but these errors were encountered: