Some of the more interesting conclusions to be drawn from growth/count data may involve looking at how the initial conditions affect overall growth rates. This might include analyses like this:
Comparing growth rates for apartments starting with one cell instead of two (or more)
Comparing growth rates for individual cells at time zero that are larger than others (with size as a proxy for time to division)
This would likely make most sense as a parameterized notebook or separate app since the filtering/grouping involved probably won't abstract well to other scenarios.
Some of the more interesting conclusions to be drawn from growth/count data may involve looking at how the initial conditions affect overall growth rates. This might include analyses like this:
This would likely make most sense as a parameterized notebook or separate app since the filtering/grouping involved probably won't abstract well to other scenarios.