OCMA: Fast, Memory-Efficient Factorization of Prohibitively Large Relationship Matrices

OCMA: Fast, Memory-Efficient Factorization of Prohibitively Large Relationship Matrices

Matrices representing genetic relatedness among individuals (i.e., Genomic Relationship Matrices, GRMs) play a central role in genetic analysis. The eigen-decomposition of GRMs (or its alternative that generates fewer top singular values using genotype matrices) is a necessary step for many analyses...

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Bibliographic Details
Main Authors: Zhi Xiong, Qingrun Zhang, Alexander Platt, Wenyuan Liao, Xinghua Shi, Gustavo de los Campos, Quan Long
Format: Article
Language:English
Published: Oxford University Press 2019-01-01
Series:G3: Genes, Genomes, Genetics
Subjects:
Eigen decomposition
Singular value decomposition
Genetic matrices
Memory virtualization
Gene mapping
Genotype-based phenotype prediction
Genomic selection
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.118.200908

Internet

http://g3journal.org/lookup/doi/10.1534/g3.118.200908

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