
Originally Posted by
Palermo Trapani
Pax Augusta: Well as I said, I only read the abstract. I took Principal Component Scores to mean they ran Principal Components to come up with the smallest number of Factors (components) to explain Populations. So I am not sure then what they mean by Principal components Scores. I took Principal Components analysis in a Multi-variate Statistics course (more economic based area). So when I see Principal Components, I think of running it and getting the eigen values of all the factors and ones that are > 1 are generally included as the variables (explanatory factors) to explain some Dependent variable, etc. Those less than 1 seem to add very little incremental explanatory power, although some might argue 1 is to strict a cut off.
Ok, so I assumed they were using autosomal DNA samples. Again, I only have read the abstract. So if I may ask, can you briefly describe how these Principal Component scores and Synthetic maps works. They used gene frequencies? Ok, well that does seem questionable. Am I to understand they are using Principal Component Scores to be something different than what I described above?