A Comprehensive Strategy Combining Feature Selection and Local Optimization Algorithm to Optimize the Design of Low-Density Chip for Genomic Selection

A Comprehensive Strategy Combining Feature Selection and Local Optimization Algorithm to Optimize the Design of Low-Density Chip for Genomic Selection

Design of low-density SNP chips provides an opportunity for wide application of genomic selection at lower cost. A novel strategy referred to as the “block-free” method is proposed in this study to select a subset of SNPs from a high-density chip to form a low-density panel. In this method, Feature...

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Bibliographic Details
Main Authors: Ruihan Mao, Lei Zhou, Zhaojun Wang, Jianliang Wu, Jianfeng Liu
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Agriculture
Subjects:
genomic selection
low-density SNP chip
feature selection
local optimization
imputation
Online Access:https://www.mdpi.com/2077-0472/13/3/614

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