Cargando…
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...
Autores principales: | Song, Meng, Greenbaum, Jonathan, Luttrell, Joseph, Zhou, Weihua, Wu, Chong, Luo, Zhe, Qiu, Chuan, Zhao, Lan Juan, Su, Kuan-Jui, Tian, Qing, Shen, Hui, Hong, Huixiao, Gong, Ping, Shi, Xinghua, Deng, Hong-Wen, Zhang, Chaoyang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671213/ https://www.ncbi.nlm.nih.gov/pubmed/36406474 http://dx.doi.org/10.3389/frai.2022.1028978 |
Ejemplares similares
-
IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection
por: Atkinson, Oliver, et al.
Publicado: (2022) -
Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm
por: Kanász, Róbert, et al.
Publicado: (2023) -
Conditional autoencoder pre-training and optimization algorithms for personalized care of hemophiliac patients
por: Buche, Cédric, et al.
Publicado: (2023) -
Anomaly detection for blueberry data using sparse autoencoder-support vector machine
por: Wei, Dianwen, et al.
Publicado: (2023) -
A prediction and imputation method for marine animal movement data
por: Li, Xinqing, et al.
Publicado: (2021)