I have a microarray data which I ran through a continuous covariate (say "X"). I did this using 4 different methods.
For the results obtained from each of the 4 methods, I have the following from each of the 4:
- FDR significant value,
- "Bonferonni significance" (saying "true" or "false")
- "Holm significance" (saying "true" or "false")
I wish to obtain an ROC curve showing lines for sensitivity and specificity from each of the 4 methods.
I kind of know what is an ROC curve, but even after reading through a few links, I dont feel clear of the concept of what kind of input it needs to create it. So I apologise if this seems to be a dummy question.
So my questions are:
Can a ROC curve be created from the 4 values (p value, FDR, Bonferoni & Holm) which I have mentioned above? Or is it that I have to calculate the FP and FN first?
Can you suggest me an easy to use package which could do this for me, by giving me a ROC curve with lines of 4 methods using the input above?
Your help appreciated. Thanking you in advance.