An autoencoder-based deep learning method for genotype imputation

An autoencoder-based deep learning method for genotype imputation

Genotype imputation has a wide range of applications in genome-wide association study (GWAS), including increasing the statistical power of association tests, discovering trait-associated loci in meta-analyses, and prioritizing causal variants with fine-mapping. In recent years, deep learning (DL) b...

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Bibliographic Details
Main Authors: Meng Song, Jonathan Greenbaum, Joseph Luttrell, Weihua Zhou, Chong Wu, Zhe Luo, Chuan Qiu, Lan Juan Zhao, Kuan-Jui Su, Qing Tian, Hui Shen, Huixiao Hong, Ping Gong, Xinghua Shi, Hong-Wen Deng, Chaoyang Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Artificial Intelligence
Subjects:
genotype imputation
deep learning
autoencoder
paired sample t-test
GWAS
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2022.1028978/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2022.1028978/full

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