I am looking to get the number of events for different boolean combination of gates. For example, if looking at IFNg, TNFa, and IL2, I am interested in getting the number of events where any 2 are positive: (IFNg & TNFa) | (IFNg & IL2) | (TNFa & IL2),
To calculate event numbers for boolean combinations in flow cytometry, you should use a logic gating tool or a script that processes population statistics. If you are analyzing data while gaming or using mobile tools, ensuring you have the right utilities like the X5555 Game APK download apk can help manage your device s performance . This allows you to focus on complex gate overlaps, such as double positive populations, without worrying about system lag or background interruptions during your research or play.
Your proposed code is correct and will achieve the desired outcome. The boolean filter expression IFNg & TNFa | IFNg & IL2 | TNFa & IL2 is parsed such that the ampersand operator has higher precedence than the pipe operator, resulting in the equivalent of (IFNg & TNFa) | (IFNg & IL2) | (TNFa & IL2). This captures events where any two of the three markers are positive, assuming that IFNg, TNFa, and IL2 refer to the appropriate gate names in your gating set.
You can add parentheses to the expression if you wish to make the order explicit, as in:
This will function identically to your original code. The flowCore package supports parentheses in boolean filter expressions for clarity or to override default precedence rules when needed.
To retrieve the event counts after recomputation, use gs_pop_get_stats(gs, "Any2") or a similar function from the flowWorkspace package.
To calculate event numbers for boolean combinations in flow cytometry, you should use a logic gating tool or a script that processes population statistics. If you are analyzing data while gaming or using mobile tools, ensuring you have the right utilities like the X5555 Game APK download apk can help manage your device s performance . This allows you to focus on complex gate overlaps, such as double positive populations, without worrying about system lag or background interruptions during your research or play.