A review of deep learning applications for genomic selection

OA Montesinos-López, A Montesinos-López… - BMC genomics, 2021 - Springer
Abstract Background Several conventional genomic Bayesian (or no Bayesian) prediction
methods have been proposed including the standard additive genetic effect model for which …

Twelve years of GWAS discoveries for osteoporosis and related traits: advances, challenges and applications

X Zhu, W Bai, H Zheng - Bone research, 2021 - nature.com
Osteoporosis is a common skeletal disease, affecting~ 200 million people around the world.
As a complex disease, osteoporosis is influenced by many factors, including diet (eg calcium …

DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants

K Wang, MA Abid, A Rasheed, J Crossa, S Hearne… - Molecular Plant, 2023 - cell.com
Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement
in plants. Traditional methods typically use linear regression models with clear assumptions; …

Comprehensive evaluation of mapping complex traits in wheat using genome-wide association studies

DK Saini, Y Chopra, J Singh, KS Sandhu, A Kumar… - Molecular …, 2022 - Springer
Genome-wide association studies (GWAS) are effectively applied to detect the marker trait
associations (MTAs) using whole genome-wide variants for complex quantitative traits in …

Development of an end-to-end deep learning framework for sign language recognition, translation, and video generation

B Natarajan, E Rajalakshmi, R Elakkiya… - IEEE …, 2022 - ieeexplore.ieee.org
The recent developments in deep learning techniques evolved to new heights in various
domains and applications. The recognition, translation, and video generation of Sign …

Accelerating climate resilient plant breeding by applying next-generation artificial intelligence

AL Harfouche, DA Jacobson, D Kainer, JC Romero… - Trends in …, 2019 - cell.com
Breeding crops for high yield and superior adaptability to new and variable climates is
imperative to ensure continued food security, biomass production, and ecosystem services …

Genetic prediction of complex traits with polygenic scores: a statistical review

Y Ma, X Zhou - Trends in Genetics, 2021 - cell.com
Accurate genetic prediction of complex traits can facilitate disease screening, improve early
intervention, and aid in the development of personalized medicine. Genetic prediction of …

Deep learning for predicting complex traits in spring wheat breeding program

KS Sandhu, DN Lozada, Z Zhang… - Frontiers in Plant …, 2021 - frontiersin.org
Genomic selection (GS) is transforming the field of plant breeding and implementing models
that improve prediction accuracy for complex traits is needed. Analytical methods for …

The unreasonable effectiveness of convolutional neural networks in population genetic inference

L Flagel, Y Brandvain… - Molecular biology and …, 2019 - academic.oup.com
Population-scale genomic data sets have given researchers incredible amounts of
information from which to infer evolutionary histories. Concomitant with this flood of data …

A guide on deep learning for complex trait genomic prediction

M Pérez-Enciso, LM Zingaretti - Genes, 2019 - mdpi.com
Deep learning (DL) has emerged as a powerful tool to make accurate predictions from
complex data such as image, text, or video. However, its ability to predict phenotypic values …