Quantitative Life Sciences Program, McGill University, Montreal, QC, Canada.
Department of Human Genetics, McGill University, Montreal, QC, Canada.
J Hum Genet. 2021 Jan;66(1):85-91. doi: 10.1038/s10038-020-00851-4. Epub 2020 Oct 14.
Uniform manifold approximation and projection (UMAP) has been rapidly adopted by the population genetics community to study population structure. It has become common in visualizing the ancestral composition of human genetic datasets, as well as searching for unique clusters of data, and for identifying geographic patterns. Here we give an overview of applications of UMAP in population genetics, provide recommendations for best practices, and offer insights on optimal uses for the technique.
一致流形逼近和投影 (UMAP) 已经被群体遗传学领域迅速采用，用于研究群体结构。它已经成为可视化人类遗传数据集的祖先组成、寻找独特的数据集群以及识别地理模式的常用方法。在这里，我们概述了 UMAP 在群体遗传学中的应用，提供了最佳实践的建议，并对该技术的最佳用途提出了一些见解。
