Background on my project:
I am comparing proteins (nodes) between a network representing protein interactions in metastatic patients v/s another network representing protein interactions in non-metastatic patients.
What I want to do
Briefly, I want to demonstrate that there is a correlation between the value of a protein's characteristic (Intrinsic Disorder) and a network difference parameter (e.g, the higher the Intrinsic Disorder of the protein is, the larger the difference in degree of this protein will be between metastatic and non-metastatic class).
I am looking at building a simple model illustrating the relationship between my dependent variable (degree difference between metastatic and non-metastatic network) and a predictor variable (extent of intrinsic disorder in a given protein).
What I have done
I used the GAMLSS package in R to do a simple regression between my two parameters of interest. However I am unsure about how to go forward to interpret the coefficients and output of this particular regression w.r.t to the relationship between my variables.
Output of my model
1) I understand what the Mu and sigma coefficient relates to the mean and standard deviation of my response,however,is there a way to say that for a unit change in my predictor variable, there is a change x in my dependent variable?