Cargando…
Consequences of PCA graphs, SNP codings, and PCA variants for elucidating population structure
SNP datasets are high-dimensional, often with thousands to millions of SNPs and hundreds to thousands of samples or individuals. Accordingly, PCA graphs are frequently used to provide a low-dimensional visualization in order to display and discover patterns in SNP data from humans, animals, plants,...
Autores principales: | Gauch, Hugh G., Qian, Sheng, Piepho, Hans-Peter, Zhou, Linda, Chen, Rui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581268/ https://www.ncbi.nlm.nih.gov/pubmed/31211811 http://dx.doi.org/10.1371/journal.pone.0218306 |
Ejemplares similares
-
Duplication of the Posterior Cerebral Artery (PCA) or “True Fetal PCA”: An Extremely Rare Variant
por: Coulier, Bruno
Publicado: (2018) -
Circle of Willis Variants: Fetal PCA
por: Shaban, Amir, et al.
Publicado: (2013) -
Improving RLRN Image Splicing Detection with the Use of PCA and Kernel PCA
por: Moghaddasi, Zahra, et al.
Publicado: (2014) -
Detecting inversions with PCA in the presence of population structure
por: Nowling, Ronald J., et al.
Publicado: (2020) -
PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture
por: Rujirakul, Kanokmon, et al.
Publicado: (2014)