Supplemental data to publication "a fitted sparse-group lasso for genome-based evaluations"

Abstract: A simulation study has been conducted to analyse the association between genetic and phenotypic variation with grouped penalization approaches. The study design resembles a breeding population consisting of several half-sib families which is typical, for example, in livestock or crop. Genotypes and phenotypes have been simulated with publicly available software. Two strategies have been followed to generate genetic effects captured by markers: effects have been sampled independently (option a) or in groups (option b). The dataset includes a detailed description of the simulation design and comprises phased genotypes of parents and progeny, progeny phenotypes and marker effect sizes. The simulation has been repeated 100 times.

Cite this as

Klosa, Jan, Wittenburg, Dörte (2021). Dataset: Supplemental data to publication "a fitted sparse-group lasso for genome-based evaluations". https://doi.org/10.22000/432

DOI retrieved: 2021

Additional Info

Field Value
Imported on January 12, 2023
Last update November 28, 2024
License CC BY 4.0 Attribution
Source https://doi.org/10.22000/432
Author Klosa, Jan
Given Name Jan
Family Name Klosa
More Authors
Wittenburg, Dörte
Source Creation 2021
Publishers
Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
Production Year 2021
Publication Year 2021
Resource Type Dataset - phenotypic and genetic data
Subject Areas
Name: Agriculture

Name: Biology

Name: Life Science

Name: Other
Additional: Genetics

Related Identifiers
Identifier: 10.1109/TCBB.2022.3156805
Type: DOI
Relation: IsSupplementTo