>Hi! > >I posed this problem to the list a week ago but realised (too late) >that the attachment was made in Kaleidagraph and that many of you >might not have been able to open it. The questions are still the >same but the attachment is now in Word. > >I'm trying to perform a cell cycle analysis of an asssay I made and >I don't know which algorithm to use. I have two choices with my >Partec PAS: > >1) "Fit One Cycle". An algorithm that performs a complete numerical >fit (see attached file for results) and >2) "Fit G1/G2M". Only performs a Gaussian fit to G1 and G2/M and >analyzes S phase data "as-is" i.e. without fit (see attached file). > >The two methods both generate results with the same "trend" BUT >method 1 shows a constant higher percentage of cells in S phase than >cells in G2M whereas method 2 shows the exact opposite. Which one to >trust? > >Method 2 always generates smaller ChiSqu than method 1, even when >the peak CVs are quite high (8-10). How high are the CVs "allowed to >get"? What can you do to improve them? What's a good ChiSqu? How >important is it that the ChiSqu is low? > >Many thousand thanks in advance again! > >Best regards, >Ulrika K Eriksson >Division of Biotechnology >Royal Institute of Technology >Stockholm >Sweden > >-- > --
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