You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thanks for this tool which is really useful to test the hypothesis on my spatial data. I would like to know, how to decide which cut-off makes sense for me to look at the spatial colocalization of cells. Please elaborate on this?
For instance, if cell A is interacting with cell B at edge cut-off 0 but not at edge cut-off 0.2? then how to interpret that?
Best Regards,
Pratap
Senior Bioinformatics Specialist,
NCCS,
Singapore
The text was updated successfully, but these errors were encountered:
To me, the cutoff parameter is to help users to get a comfortable level of trimming noise vs keeping results. As long as the edge width is not zero, it implied a co-localization. But then it depends on how much noise/results the users want to show.
Those 'thin' edge connections are probably what you are most interested in. I think you probably need some orthogonal evidence. Ligand-receptor inference analysis is a very good choice.
Hi CellTrek team,
Thanks for this tool which is really useful to test the hypothesis on my spatial data. I would like to know, how to decide which cut-off makes sense for me to look at the spatial colocalization of cells. Please elaborate on this?
For instance, if cell A is interacting with cell B at edge cut-off 0 but not at edge cut-off 0.2? then how to interpret that?
Best Regards,
Pratap
Senior Bioinformatics Specialist,
NCCS,
Singapore
The text was updated successfully, but these errors were encountered: