Imputation of single-cell gene expression with an autoencoder neural network-Reference-Cited by-同舟云学术

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Imputation of single-cell gene expression with an autoencoder neural network

Published:2020-01-22 Issue:1 Volume:8 Page:78-94
ISSN:2095-4689
Container-title:Quantitative Biology
language:en
Short-container-title:Quant Biol

Author:

Badsha Md. Bahadur,Li Rui,Liu Boxiang,Li Yang I.,Xian Min,Banovich Nicholas E.,Fu Audrey Qiuyan

Publisher

Engineering Sciences Press

Subject

Applied Mathematics,Computer Science Applications,Biochemistry, Genetics and Molecular Biology (miscellaneous),Modelling and Simulation

Link

http://link.springer.com/content/pdf/10.1007/s40484-019-0192-7.pdf

Cited by 42 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel and efficient risk minimisation-based missing value imputation algorithm;Knowledge-Based Systems;2024-11

2. Single-Cell Omics for Transcriptome CHaracterization (SCOTCH): isoform-level characterization of gene expression through long-read single-cell RNA sequencing;2024-04-30

3. Deep Learning in Single-cell Analysis;ACM Transactions on Intelligent Systems and Technology;2024-03-29

4. Applications of Deep Learning in Healthcare in the Framework of Industry 5.0;Advances in Web Technologies and Engineering;2024-01-25

5. Deep learning applications in single-cell genomics and transcriptomics data analysis;Biomedicine & Pharmacotherapy;2023-09

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