Sparse Convolutional Denoising Autoencoders for Genotype Imputation

Sparse Convolutional Denoising Autoencoders for Genotype Imputation

Genotype imputation, where missing genotypes can be computationally imputed, is an essential tool in genomic analysis ranging from genome wide associations to phenotype prediction. Traditional genotype imputation methods are typically based on haplotype-clustering algorithms, hidden Markov models (H...

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Bibliographic Details
Main Authors: Junjie Chen, Xinghua Shi
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Genes
Subjects:
genotype imputation
convolutional neural network
autoencoder
sparse model
deep learning
Online Access:https://www.mdpi.com/2073-4425/10/9/652

Internet

https://www.mdpi.com/2073-4425/10/9/652

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