# Source: eigensoft # Package: eigensoft # Versions: eigensoft (6.1.2+dfsg-1), eigensoft (6.1.3+dfsg-1), eigensoft (6.1.4+dfsg-1), eigensoft (6.1.4+dfsg-1+b1), eigensoft (6.1.4+dfsg-1+b2), eigensoft (7.2.1+dfsg-1), eigensoft (7.2.1+dfsg-1+b1), eigensoft (7.2.1+dfsg-2), eigensoft (7.2.1+dfsg-3), eigensoft (7.2.1+dfsg-3+b1), eigensoft (7.2.1+dfsg-3+b2), eigensoft (8.0.0+dfsg-1), eigensoft (8.0.0+dfsg-2), eigensoft (8.0.0+dfsg-2+b1), eigensoft (8.0.0+dfsg-2+b2) # This Description is active # This Description is owned # Prioritize: 47 Description: reduction of population bias for genetic analyses The EIGENSOFT package combines functionality from the group's population genetics methods (Patterson et al. 2006) and their EIGENSTRAT stratification method (Price et al. 2006). The EIGENSTRAT method uses principal components analysis to explicitly model ancestry differences between cases and controls along continuous axes of variation; the resulting correction is specific to a candidate marker's variation in frequency across ancestral populations, minimizing spurious associations while maximizing power to detect true associations. The EIGENSOFT package has a built-in plotting script and supports multiple file formats and quantitative phenotypes. Description-da: Reduktion af befolkningsbias for genetiske analyser Pakken EIGENSOFT kombinerer funktionalitet fra gruppens befolkningsgenetiske metoder (Patterson et al. 2006) og deres EIGENSTRAT-startifikationsmetode (Price et al. 2006). Metoden EIGENSTRAT bruger principielle komponentanalyse til eksplicit at vise forfaderforskelle mellem tilfælde og kontroller langs fortsættende akser af variation; den medfølgende korrektion er specifik til en kandidats markørs variation i frekvens på tværs af forfaderbefolkninger, minimerer uægte associationer mens funktionen for detektion af korrekte associationer forstærkes. Pakken EIGENSOFT har et indbygget plotskript og understøtter flere filformater og kvantitative fænotyper. # other Descriptions of the eigensoft package with a translation in da: #