Hi, I have been playing around with the Aroma package and using sample data from the Affymetrix site. I've noticed that normalising ragene10st arrays takes about 10 times longer than it does for hugene10st. For example: ragene10st:
Total time for complete data set: 20.31min = 0.34h Fraction of time spent on different tasks: Fitting: 96.5%, Reading: 0.9%, Writing: 2.6% (of which 60.78% is for encoding/writing chip-effects), Explicit garbage collection: 0.0% hugene10st: Total time for complete data set: 2.38min = 0.04h Fraction of time spent on different tasks: Fitting: 69.6%, Reading: 6.5%, Writing: 23.5% (of which 61.68% is for encoding/writing chip-effects), Explicit garbage collection: 0.4 Both analyses are being run with 6 cel files. Is this expected and if so what is the reason for the difference? thanks, Sebastien --~--~---------~--~----~------------~-------~--~----~ When reporting problems on aroma.affymetrix, make sure 1) to run the latest version of the package, 2) to report the output of sessionInfo() and traceback(), and 3) to post a complete code example. You received this message because you are subscribed to the Google Groups "aroma.affymetrix" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/aroma-affymetrix?hl=en -~----------~----~----~----~------~----~------~--~---
