Open shangguandong1996 opened 3 years ago
The wilcoxon test is a very natural test to use in this case because the distribution of ISD scores is unknown in all conditions, so another non-parametric would be needed. The issue with the wilcoxon test you may be encountering is that it simply tests the probability that a sample X from list 1 is greater than sample Y from list 2, but the relative differences in magnitude do not directly affect p-value. I have thought of this before and briefly explored some options. I will think on it and get back to you.
Hi, Allen sorry to bother you again. I just find a interesting thing about wilcox test when using percent data.
Here is the simulation data. you can see TF A in test_input_1 is more "notable" in test_input_2. But the significance of wilcox p-value is opposite
you can see just little changes of some gene's percent will produce differnet result. So I am wondering whether we should use more powerful test ?
Best wishes Guandong Shang