Correlation Imputation for Single-Cell RNA-seq-Reference-Cited by-同舟云学术

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Correlation Imputation for Single-Cell RNA-seq

Published:2022-05-01 Issue:5 Volume:29 Page:465-482
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Gan Luqin¹,Vinci Giuseppe²,Allen Genevera I.¹³⁴⁵

Affiliation:

1. Department of Statistics, Rice University, Houston, Texas, USA.

2. Department of Applied and Computational Mathematics and Statistics University of Notre Dame, Notre Dame, Indiana, USA.

3. Department of Electrical and Computer Engineering and Rice University, Houston, Texas, USA.

4. Department of Computer Science, Rice University, Houston, Texas, USA.

5. Neurological Research Institute, Baylor College of Medicine, Houston, Texas, USA.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2021.0403

Reference53 articles.

1. Minimax rate-optimal estimation of high-dimensional covariance matrices with incomplete data

2. scRMD: imputation for single cell RNA-seq data via robust matrix decomposition

3. Single-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm

4. An integrated encyclopedia of DNA elements in the human genome

5. A survey of human brain transcriptome diversity at the single cell level

Cited by 2 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. Brooklyn plots to identify co-expression dysregulation in single cell sequencing;NAR Genomics and Bioinformatics;2024-01-05

2. DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype–phenotype prediction;Genome Medicine;2023-10-31

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