Interpretable Artificial Neural Networks incorporating Bayesian Alphabet Models for Genome-wide Prediction and Association Studies
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Title
Interpretable Artificial Neural Networks incorporating Bayesian Alphabet Models for Genome-wide Prediction and Association Studies
Authors
Keywords
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Journal
G3-Genes Genomes Genetics
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2021-07-10
DOI
10.1093/g3journal/jkab228
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Note: Only part of the references are listed.- A review of deep learning applications for genomic selection
- (2021) Osval Antonio Montesinos-López et al. BMC GENOMICS
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- (2018) Hao Cheng et al. GENETICS
- Technical note: an R package for fitting sparse neural networks with application in animal breeding1
- (2018) Yangfan Wang et al. JOURNAL OF ANIMAL SCIENCE
- GWAS by GBLUP: Single and Multimarker EMMAX and Bayes Factors, with an Example in Detection of a Major Gene for Horse Gait
- (2018) Andres Legarra et al. G3-Genes Genomes Genetics
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- (2018) Wenlong Ma et al. PLANTA
- The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019
- (2018) Annalisa Buniello et al. NUCLEIC ACIDS RESEARCH
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- (2017) Rohan Fernando et al. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
- Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery
- (2017) John M Hickey et al. NATURE GENETICS
- Genome-Wide Association Analyses Based on Broadly Different Specifications for Prior Distributions, Genomic Windows, and Estimation Methods
- (2017) Chunyu Chen et al. GENETICS
- Inference on the Genetic Basis of Eye and Skin Color in an Admixed Population via Bayesian Linear Mixed Models
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- (2016) Tingting Wang et al. BMC GENOMICS
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- (2016) Leonardo Siqueira Glória et al. Livestock Science
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- (2015) Aditi Sharma et al. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES
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- (2015) Yann LeCun et al. NATURE
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- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Simultaneous Discovery, Estimation and Prediction Analysis of Complex Traits Using a Bayesian Mixture Model
- (2015) Gerhard Moser et al. PLoS Genetics
- Rapid screening for phenotype-genotype associations by linear transformations of genomic evaluations
- (2014) Jose L Gualdrón Duarte et al. BMC BIOINFORMATICS
- The advantages and limitations of trait analysis with GWAS: a review
- (2013) Arthur Korte et al. Plant Methods
- A century after Fisher: time for a new paradigm in quantitative genetics
- (2013) Ronald M. Nelson et al. TRENDS IN GENETICS
- Five Years of GWAS Discovery
- (2012) Peter M. Visscher et al. AMERICAN JOURNAL OF HUMAN GENETICS
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- (2012) H. WANG et al. Genetics Research
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- Bayesian variable selection regression for genome-wide association studies and other large-scale problems
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- (2009) K. Kizilkaya et al. JOURNAL OF ANIMAL SCIENCE
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