Application of a Poisson deep neural network model for the prediction of count data in genome‐based prediction
出版年份 2021 全文链接
标题
Application of a Poisson deep neural network model for the prediction of count data in genome‐based prediction
作者
关键词
-
出版物
Plant Genome
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2021-07-29
DOI
10.1002/tpg2.20118
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
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