Hi, I am trying to find out a way to select/prioritize the missense variants based on an array of pathogenicity prediction scores generated by SIFT, CADD, REVEL, PolyPhen, MPC, and M_CAP. Right now, I have transformed these scores into dichotomous variables (based on their recommended cut-off) and added them to generate a combined score (ranging from 0 to 6).
Then further->select only those missense variants which showed deleterious/damaging effect recommended by at least 50% of the above-mentioned tools.
Can someone suggest other possible ways/approaches to combine these scores (which can be helpful in prioritizing the missense variants)?
Thanks in advance