ggoutlier_example

Identify and visualize individuals with unusual association patterns of genetics and geography using the approach of Chang and Schmid (2023) <doi:10.1101/2023.04.06.535838>. It detects potential outliers that violate the isolation-by-distance assumption using the K-nearest neighbor approach. You can obtain a table of outliers with statistics and visualize unusual geo-genetic patterns on a geographical map. This is useful for landscape genomics studies to discover individuals with unusual geography and genetics associations from a large biological sample.

Che-Wei Chang

GGoutlieR

Identify Individuals with Unusual Geo-Genetic Patterns

ggoutlier_example: Example of `ggoutlier` output

Description

Arguments

Format