https://www.selleckchem.com/pr....oducts/l-histidine-m
Inference of the Biogeographical Ancestry (BGA) of a person or trace relies on three ingredients (1) a reference database of DNA samples including BGA information; (2) a statistical clustering method; (3) a set of loci which segregate dependent on geographical location, i.e. a set of so-called Ancestry Informative Markers (AIMs). We used the theory of feature selection from statistical learning in order to obtain AIMsets for BGA inference. Using simulations, we show that this learning procedure works in