- Home
- Publications
- Publication Search
- Publication Details
Title
Integrating Gene Expression Data Into Genomic Prediction
Authors
Keywords
-
Journal
Frontiers in Genetics
Volume 10, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2019-02-25
DOI
10.3389/fgene.2019.00126
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Beyond Genomic Prediction: Combining Different Types ofomicsData Can Improve Prediction of Hybrid Performance in Maize
- (2018) Tobias A. Schrag et al. GENETICS
- Robust phenotype prediction from gene expression data using differential shrinkage of co-regulated genes
- (2018) Kourosh Zarringhalam et al. Scientific Reports
- Beyond Genomic Prediction: Combining Different Types ofomicsData Can Improve Prediction of Hybrid Performance in Maize
- (2018) Tobias A. Schrag et al. GENETICS
- Prediction of years of life after diagnosis of breast cancer using omics and omic-by-treatment interactions
- (2017) Agustín González-Reymúndez et al. EUROPEAN JOURNAL OF HUMAN GENETICS
- Incorporating Gene Annotation into Genomic Prediction of Complex Phenotypes
- (2017) Ning Gao et al. GENETICS
- Will Big Data Close the Missing Heritability Gap?
- (2017) Hwasoon Kim et al. GENETICS
- Prediction and association mapping of agronomic traits in maize using multiple omic data
- (2017) Y Xu et al. HEREDITY
- Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast
- (2017) Simon K G Forsberg et al. NATURE GENETICS
- Omics-based hybrid prediction in maize
- (2017) Matthias Westhues et al. THEORETICAL AND APPLIED GENETICS
- Genomic Selection in Plant Breeding: Methods, Models, and Perspectives
- (2017) José Crossa et al. TRENDS IN PLANT SCIENCE
- Incorporating Gene Annotation into Genomic Prediction of Complex Phenotypes
- (2017) Ning Gao et al. GENETICS
- Will Big Data Close the Missing Heritability Gap?
- (2017) Hwasoon Kim et al. GENETICS
- Integration of multi-omics data for prediction of phenotypic traits using random forest
- (2016) Animesh Acharjee et al. BMC BIOINFORMATICS
- Metabolomic prediction of yield in hybrid rice
- (2016) Shizhong Xu et al. PLANT JOURNAL
- Epistasis and covariance: how gene interaction translates into genomic relationship
- (2016) Johannes W. R. Martini et al. THEORETICAL AND APPLIED GENETICS
- Evaluation of the utility of gene expression and metabolic information for genomic prediction in maize
- (2016) Zhigang Guo et al. THEORETICAL AND APPLIED GENETICS
- Cross-Validation Without Doing Cross-Validation in Genome-Enabled Prediction
- (2016) D. Gianola et al. G3-Genes Genomes Genetics
- Polymorphisms in early neurodevelopmental genes affect natural variation in alcohol sensitivity in adult drosophila
- (2015) Tatiana V. Morozova et al. BMC GENOMICS
- The Genetic Basis for Variation in Olfactory Behavior in Drosophila melanogaster
- (2015) Gunjan H. Arya et al. CHEMICAL SENSES
- Prediction of Plant Height inArabidopsis thalianaUsing DNA Methylation Data
- (2015) Yaodong Hu et al. GENETICS
- Modeling Epistasis in Genomic Selection
- (2015) Yong Jiang et al. GENETICS
- Genetic basis of transcriptome diversity inDrosophila melanogaster
- (2015) Wen Huang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Prediction of Plant Height inArabidopsis thalianaUsing DNA Methylation Data
- (2015) Yaodong Hu et al. GENETICS
- Modeling Epistasis in Genomic Selection
- (2015) Yong Jiang et al. GENETICS
- Quantitative Genetics of Food Intake in Drosophila melanogaster
- (2015) Megan E. Garlapow et al. PLoS One
- Genetic interactions affecting human gene expression identified by variance association mapping
- (2014) Andrew Anand Brown et al. eLife
- Priors in Whole-Genome Regression: The Bayesian Alphabet Returns
- (2013) D. Gianola GENETICS
- Improving the Accuracy and Efficiency of Identity-by-Descent Detection in Population Data
- (2013) B. L. Browning et al. GENETICS
- A Function Accounting for Training Set Size and Marker Density to Model the Average Accuracy of Genomic Prediction
- (2013) Malena Erbe et al. PLoS One
- Improved Heritability Estimation from Genome-wide SNPs
- (2012) Doug Speed et al. AMERICAN JOURNAL OF HUMAN GENETICS
- The Drosophila melanogaster Genetic Reference Panel
- (2012) Trudy F. C. Mackay et al. NATURE
- Epistasis dominates the genetic architecture of Drosophila quantitative traits
- (2012) W. Huang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Using Whole-Genome Sequence Data to Predict Quantitative Trait Phenotypes in Drosophila melanogaster
- (2012) Ulrike Ober et al. PLoS Genetics
- Phenotype Prediction Using Regularized Regression on Genetic Data in the DREAM5 Systems Genetics B Challenge
- (2011) Po-Ru Loh et al. PLoS One
- Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers
- (2010) J. Crossa et al. GENETICS
- Common SNPs explain a large proportion of the heritability for human height
- (2010) Jian Yang et al. NATURE GENETICS
- Additive Genetic Variability and the Bayesian Alphabet
- (2009) D. Gianola et al. GENETICS
- Reproducing kernel Hilbert spaces regression: A general framework for genetic evaluation1
- (2009) G. de los Campos et al. JOURNAL OF ANIMAL SCIENCE
- Reproducing Kernel Hilbert Spaces Regression Methods for Genomic Assisted Prediction of Quantitative Traits
- (2008) D. Gianola et al. GENETICS
- Efficient Methods to Compute Genomic Predictions
- (2008) P.M. VanRaden JOURNAL OF DAIRY SCIENCE
- Heritability in the genomics era — concepts and misconceptions
- (2008) Peter M. Visscher et al. NATURE REVIEWS GENETICS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now