🚴 Kinship Adjusted Multi-Loci Best Linear Unbiased Prediction
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Updated
Apr 8, 2025 - R
🚴 Kinship Adjusted Multi-Loci Best Linear Unbiased Prediction
Bayesian Multi-Trait Multi-Environment for genomic selection[R package] [Dev version]
easyPheno: a model agnostic phenotype prediction framework
2024 BreedWheat Genomic Selection pipeline
Training set determination for genomic selection.
R package wrapping the GS3 program for genomic selection (http://genoweb.toulouse.inra.fr/~alegarra/).
Quantitative and population genetics analyses of populations, pools, half-sib/full-sib families, and polyploids
Robust optimal contirbution selection problems for genetics with Python
Ensemble learning for integrative prediction of genetic values with genomic variants.
Reproducible documentation: Wolfe et al. Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices
JanusX is a user-friendly and high performance software for GWAS using ML, GL and FarmCPU models and GS using GBLUP and ML.
A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species
This is a public repository for relevant code from the publication of the same name.
This website is a project for analysis of the Genomic Selection for Drought Tolerance Using Genome Wide GBS and/or DART in Cassava by EMBRAPA Mandioca.
This project documents informatics and genomic prediction to support the National Root Crop Research Institute 2021 cassava genomic selection breeding program.
Implementations of Critical Line Algorithm in GNU Octave
A graphical software for forest genomic selection breeding
O objetivo do presente projeto é propor e avaliar o uso da regularização no desempenho de RNAs em modelos de predição genômica (GP). Tal estudo visa melhorar a predição de valores genéticos genômicos (GEBV), evitando o chamado o problema de ‘overfitting’, e estimação de parâmetros genéticos. Para isso, dados simulados e reais serão utilizados.
Shiny app for playing with breeding strategy choices using realistic genotypes
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