How to calculate likehood （Unknown number of mixed samples split）

[licongge]

Hello, I'm a graduate student. Recently, I encountered some problems when using your new algorithm to split mixed sample data. My single cell data comes from embryos, which number of embryos is unknown.
What I want to consult is，how to calculate the total log-likelihood value in your article? According to the cluster_temp file or the cluster file? Do all the data add up directly, or each cell only calculate the log-likelihood value of its own cluster?

[wheaton5]

Its in one of the .out files (clusters.out maybe). Its on the final line of that file.

[wheaton5]

It will say something like best total log likelihood is blah

[wheaton5]

And it is the total marginal log likelihood across all cells and marginalized across clusters as shown in the supplement of the paper

[licongge]

Thank you for your prompt reply. Could you tell me which of the three log-likelihood values in the diagram is more suitable?

[wheaton5]

As from before, it is the number on the final line. The highest (least negative) value is the best and final result.

[licongge]

Thanks for your guidance. I see how to go on doing it.