For instance, I have such data:
PatientID marker1 marker2 marker3 marker4 1 10% 25% 25% 40% 2 20% 15% 10% 45% 3 15% 20% 25% 40% 4 25% 25% 20% 30% ...
Each patient tissue is tested for four different but markers. The data points for each marker is the percentage of it among the four markers. So, each four data points add up to 100%.
Given such data, for instance, I might compare these four groups using ANOVA or T-test for each of them combined with Bonferroni correction? But what to do to deal with the dependent observations as four percentages added up to 100% for each individual.
The reason I did not write my goal or specific research question regarding these data points is not because I don't have any one, is only because I don't want to limit the freedom of thinking of data due to my fixed problem question (for instance, I only want to see the differences between marker1 and marker2, etc.) Therefore, any good idea to play with data is welcome.