Scalable probabilistic PCA for large-scale genetic variation data

Principal component analysis (PCA) is a key tool for understanding population structure and controlling for population stratification in genome-wide association studies (GWAS). With the advent of large-scale datasets of genetic variation, there is a need for methods that can compute principal compon...

Descripción completa

Detalles Bibliográficos
Autores principales: Agrawal, Aman, Chiu, Alec M., Le, Minh, Halperin, Eran, Sankararaman, Sriram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286535/
https://www.ncbi.nlm.nih.gov/pubmed/32469896
http://dx.doi.org/10.1371/journal.pgen.1008773

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286535/
https://www.ncbi.nlm.nih.gov/pubmed/32469896
http://dx.doi.org/10.1371/journal.pgen.1008773

Ejemplares similares