I am a researcher of Proteomics. I have several questions while I use ClinPro Tools.
1) Suppose I set peak range from 1000-5000, I got 3 potential candidates with ROC>0.7,
while I set peak range from 1000-10000, I got the same 3 peaks but there are subtle difference in the ROC values of these 3 peaks. I want to ask why would this difference come from normalization process, if it was due to normalization, and why normalization would have influence on this?
Should I also choose potential candidate with ROC values > 0.6 for further ID to avoid potential candidate loss?
2) I have 4 groups A.B.C.D, and A is the study group, B, C, D are all the control. If I want to disease makers of A, which method is better and appropriate:
a) Load A.B.C.D separately, and using ClinPro Tools.
b) Combine B.C.D as a group , and load A and B/C/D, then using ClinPro Tools. Would it be different and why?