Hi all,
In [Scheres et al. (2016) Methods in Enzymology. 579:125-157], it says that "one typically uses higher values of the regularization parameter T in masked classifications ... values of 10-40 have been used ...". Personally, I've seen improved results with values all the way up to several hundreds in focused, signal-subtracted 3D classification without alignment when the mask is very small relative to the entire box. Are there any general rule of thumb what values to try? E.g. in relationship to the fraction of the total box volume and/or total density included in the mask?
Regards,
Daniel
När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/
E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy
########################################################################
To unsubscribe from the CCPEM list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=CCPEM&A=1
|