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For large data such single-cell proteomics data, the robust summary aggregation is very slow. You can test this with this example:
library(scpdata) library(scp) aggregateFeatures(specht2019v3(), i = "peptides", name = "proteins_rs", fcol = "protein", fun = MsCoreUtils::robustSummary)
I stopped the run after 1 hour.
The text was updated successfully, but these errors were encountered:
It would be useful to profile the code and identify what chunks take time and why they do (cpu time, memory management, ...).
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cvanderaa
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For large data such single-cell proteomics data, the robust summary aggregation is very slow. You can test this with this example:
I stopped the run after 1 hour.
The text was updated successfully, but these errors were encountered: