Incorporating Prior Knowledge of Principal Components in Genomic Prediction

Incorporating Prior Knowledge of Principal Components in Genomic Prediction

Genomic prediction using a large number of markers is challenging, due to the curse of dimensionality as well as multicollinearity arising from linkage disequilibrium between markers. Several methods have been proposed to solve these problems such as Principal Component Analysis (PCA) that is common...

Full description

Bibliographic Details
Main Authors: Sayed M. Hosseini-Vardanjani, Mohammad M. Shariati, Hossein Moradi Shahrebabak, Mojtaba Tahmoorespur
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Genetics
Subjects:
genomic selection
statistical models
variable selection
principal component analysis
accuracy
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2018.00289/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2018.00289/full

Similar Items