| Literature DB >> 35451782 |
Johannes W R Martini1, Ning Gao2, José Crossa3.
Abstract
In this chapter, we discuss the motivation for integrating other types of omics data into genomic prediction methods. We give an overview of literature investigating the performance of omics-enhanced predictions, and highlight potential pitfalls when applying these methods in breeding. We emphasize that the statistical methods available for genomic data can be transferred to the general omics case. However, when using a framework of omic relationship matrices, the standardization of the variables may be more relevant than it is for a genomic relationship matrix based on single-nucleotide polymorphisms.Entities:
Keywords: Metabolomic relationship; Omics-based prediction; Omics-enhanced prediction; Transcriptomic relationship
Mesh:
Year: 2022 PMID: 35451782 DOI: 10.1007/978-1-0716-2205-6_12
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745