Application of a Poisson deep neural network model for the prediction of count data in genome‐based prediction
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Application of a Poisson deep neural network model for the prediction of count data in genome‐based prediction
Authors
Keywords
-
Journal
Plant Genome
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2021-07-29
DOI
10.1002/tpg2.20118
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Multivariate Poisson Deep Learning Model for Genomic Prediction of Count Data
- (2020) Osval Antonio Montesinos-López et al. G3-Genes Genomes Genetics
- Optimal Designs for Genomic Selection in Hybrid Crops
- (2019) Tingting Guo et al. Molecular Plant
- New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes
- (2019) Osval A. Montesinos-López et al. G3-Genes Genomes Genetics
- Comparison of genome-wide and phenotypic selection indices in maize
- (2019) Gustavo Vitti Môro et al. EUPHYTICA
- Use of genomic selection in breeding rice (Oryza sativa L.) for resistance to rice blast (Magnaporthe oryzae)
- (2019) Mao Huang et al. MOLECULAR BREEDING
- Bayesian modelling of nonlinear Poisson regression with artificial neural networks
- (2019) Hansapani Rodrigo et al. JOURNAL OF APPLIED STATISTICS
- Multi-environment Genomic Prediction of Plant Traits Using Deep Learners with Dense Architecture
- (2018) Abelardo Montesinos-López et al. G3-Genes Genomes Genetics
- Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits
- (2018) Osval A. Montesinos-Lopez et al. G3-Genes Genomes Genetics
- A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding
- (2018) Osval A. Montesinos-López et al. G3-Genes Genomes Genetics
- Genomic Selection in Plant Breeding: Methods, Models, and Perspectives
- (2017) José Crossa et al. TRENDS IN PLANT SCIENCE
- A Bayesian Poisson-lognormal Model for Count Data for Multiple-Trait Multiple-Environment Genomic-Enabled Prediction
- (2017) Osval A. Montesinos-López et al. G3-Genes Genomes Genetics
- Prospects for Genomic Selection in Cassava Breeding
- (2017) Marnin D. Wolfe et al. Plant Genome
- Use of Genomic Estimated Breeding Values Results in Rapid Genetic Gains for Drought Tolerance in Maize
- (2017) B.S. Vivek et al. Plant Genome
- Genomic Selection Performs Similarly to Phenotypic Selection in Barley
- (2016) Ahmad H. Sallam et al. CROP SCIENCE
- Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction
- (2016) Abelardo Montesinos-López et al. G3-Genes Genomes Genetics
- Genomic Selection for Processing and End-Use Quality Traits in the CIMMYT Spring Bread Wheat Breeding Program
- (2016) Sarah D. Battenfield et al. Plant Genome
- Genome-Enabled Prediction Models for Yield Related Traits in Chickpea
- (2016) Manish Roorkiwal et al. Frontiers in Plant Science
- Genomic Prediction Models for Count Data
- (2015) Osval A. Montesinos-López et al. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
- Accuracy of Whole-Genome Prediction Using a Genetic Architecture-Enhanced Variance-Covariance Matrix
- (2015) Zhe Zhang et al. G3-Genes Genomes Genetics
- Genomic Prediction in Pea: Effect of Marker Density and Training Population Size and Composition on Prediction Accuracy
- (2015) Nadim Tayeh et al. Frontiers in Plant Science
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- (2015) Jerome Friedman et al. Journal of Statistical Software
- Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars
- (2013) C. R. Cavanagh et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The use of count data models in biomedical informatics evaluation research
- (2011) Jing Du et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Partially Collapsed Gibbs Samplers: Illustrations and Applications
- (2009) Taeyoung Park et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Nonlinear Poisson regression using neural networks: a simulation study
- (2009) Nader Fallah et al. NEURAL COMPUTING & APPLICATIONS
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