GGoutlieR: an R package to identify and visualize unusual geo-genetic patterns of biological samples

R Submitted 01 May 2023Published 01 November 2023
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Authors

Che-Wei Chang (0000-0001-6704-3732), Karl Schmid (0000-0001-5129-895X)

Citation

Chang et al., (2023). GGoutlieR: an R package to identify and visualize unusual geo-genetic patterns of biological samples. Journal of Open Source Software, 8(91), 5687, https://doi.org/10.21105/joss.05687

@article{Chang2023, doi = {10.21105/joss.05687}, url = {https://doi.org/10.21105/joss.05687}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {91}, pages = {5687}, author = {Che-Wei Chang and Karl Schmid}, title = {GGoutlieR: an R package to identify and visualize unusual geo-genetic patterns of biological samples}, journal = {Journal of Open Source Software} }
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landscape genomics K nearest neighbors geo-genetic patterns

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ISSN 2475-9066