Closed ngehlenborg closed 6 years ago
use case: days to birth (patient age), for instance there is a major age difference between people with and without IDH1 mutation in GBM
I'd like to push this a bit more since it has become clear to me that the interpretation of molecular data in the context of phenotypical information is really important to most analysis groups.
In addition to the distribution density/histogram plot, I would like to suggest that we add box plots, too. In this scenario there would be one box per brick. Furthermore, we should add plots to show the relationship between two (clinical) variables, e.g. as a scatter plot, say to show the relationship between age and survival or patient weight and number of cigarettes smoked per year or day.
in addition to Kaplan-Meier, just show distribution of values, header brick should show multiple plotted on top of each other != current histogram view