Identification of COVID-19 severity and associated genetic biomarkers based on scRNA-seq data-Reference-Cited by-同舟云学术

Identification of COVID-19 severity and associated genetic biomarkers based on scRNA-seq data

Published:2022-08-07 Issue: Volume: Page:
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Container-title:Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
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Author:

Goel Aekansh¹,Mudge Zachary¹,Bi Sarah¹,Brenner Charles¹,Huffman Nicholas¹,Giuste Felipe¹,Marteau Benoit¹,Shi Wenqi¹,Wang May D.¹

Affiliation:

1. Georgia Institute of Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3535508.3545519

Reference11 articles.

1. World Health Organization . (n.d.). WHO coronavirus (COVID-19) dashboard ., World Health Organization . Retrieved May 5, 2022 , from https://covid19.who.int/ World Health Organization. (n.d.). WHO coronavirus (COVID-19) dashboard., World Health Organization. Retrieved May 5, 2022, from https://covid19.who.int/

2. Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19

3. Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression

4. Comprehensive Integration of Single-Cell Data

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